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Cypress Hcm Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Cypress Hcm Interview Guides

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.</p>

<p>The company has been consistently growing new users in the city from January to March.</p>

<p>What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?</p>


<p>What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?</p>

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><strong>Product Manager 3</strong></div><div></div><div><strong>Job Details</strong></div><ul><li>Product Manager 3 (Contract)</li><li>Location: San Jose, CA 95110 (Hybrid)</li><li>Duration: 10/20/2025 to 10/23/2026</li><li>Team: Platform and Events US</li></ul><div><strong> </strong></div><div><strong>Key Responsibilities:</strong></div><ul><li>Help lead the evolution of Adobe.com personalization platform, further developing it as a critical point for the company’s consumer and enterprise solutions.</li><li>Use data, customer and competitive insights and industry standards to find opportunities to build innovative capabilities and compelling personalization experiences</li><li>Assess new market opportunity and strategic areas of growth within our audience</li><li>Collaborate with internal and external partners to drive a wide range of research type (E2E reviews, audits, user testing, A/B testing, analytics deep dive…)</li><li>Create business cases outlining projected impact for each initiative to be prioritized on the roadmap</li><li>Work with Experience Designers on customer journeys, UX flows, and page designs</li><li>Transform requirements into feature specs/user stories including story acceptance criteria for the engineering team</li><li>Define goals, set priorities, and drive a backlog of features adapted to your markets</li><li>Actively address ambiguity and change in the product backlog</li><li>Assess and report on the results of initiatives vs their expected impact</li><li>Align key partners on vision, roadmap, and prioritization of platform capabilities</li><li>Present convincingly to executives, partners, and users/customers</li><li>Make tough trade off decisions to get the biggest bang for the buck.</li></ul><div><strong> </strong></div><div><strong>Required Skills & Qualifications:</strong></div><ul><li>3-5 years of product owner experience in web/mobile mobile personalization & segmentation tools</li><li>Experience in working cross-functionally with studio and engineering teams - user stories, UX flows, customer journeys, etc.</li><li>Strong with day-to-day execution w/ backlog grooming, writing Jira tickets, and setting up test cases</li><li>Highly analytical; relentless focus on using data to drive decisions through a/b testing, e2e reviews, and audits to create and achieve measurable key results for the site</li><li>Experience with the personalization technologies such as CDPs, testing/targeting/ analytics, machine learning models</li></ul><div>Additional Skills & Qualifications</div><ul><li>5+ years of experience as a Product Owner or Product Manager with a technology focused organization</li><li>Proven experience in conceptualizing, defining, building, and releasing products on a web/mobile ecosystem with a deep understanding of web technologies.</li><li>Experience leading Agile based development teams</li><li>Articulate in defining product requirements, writing functional specs and user stories.</li><li>Excellent verbal/written communication, collaboration, analytical and presentation skills to influence all stakeholders and partners</li><li>Able to set goals and participate in strategic initiatives for a team</li><li>Highly analytical; deep focus on using data to drive decisions, build and achieve measurable key results for the platform services.</li><li>Ability to build positive relationships across functions within a large organization</li><li>Passion for new knowledge and enjoy learning about industry and technology trends.</li><li>Experience with Adobe Experience Platform and products such as AEM, Target, Audience Manager, AEP Segments, etc...</li></ul><div><strong> </strong></div><div><strong>Compensation:</strong></div><ul><li>$64.07 to $85.42 per hour.</li></ul><div></div><div>#36503027</div></div></div>

<p><strong><u>Data Analyst</u></strong></p><p>Must be located in Omaha NE to work Hybrid schedule (3 days onsite)</p><p><strong>Overview</strong></p><ul><li>We are the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.</li><li>We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.</li><li>We are seeking a Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations. This role focuses on developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory. The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data driven solutions.</li><li><strong>Location </strong>– Omaha, NE (Hybrid – Tuesdays/Wednesdays/Thursdays)</li></ul><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions.</li><li>Optimize queries and ensure database performance, integrity, and security.</li><li>Build and maintain Power BI dashboards and reports to support evolving business needs.</li><li>Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation.</li><li>Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.</li><li>Monitor and troubleshoot data processes, ensuring reliability and accuracy across systems.</li><li>Partner with cross functional teams on strategic projects and operational initiatives.</li></ul><p><br></p><p><strong>Requirements</strong></p><p><strong><em> Basic Qualifications:</em></strong></p><ul><li>BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.</li><li>6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (T-SQL) including stored procedures, views, functions, indexing, and query optimization.</li><li>2+ years of experience with data integration platforms (Azure Data Factory, SSIS, Boomi, etc.), with a preference for Azure Data Factory (pipelines, datasets, data flows).</li><li>2+ years of experience building and maintaining Power BI dashboards/reports (data modeling, DAX/Power Query, refresh strategies, governance).</li><li>2+ years of experience working in or supporting operations based workforce teams, with strong understanding of operational processes and data needs.</li><li>Experience using Git for version control, including common workflows such as branching, committing, pushing, and submitting pull requests for code review and merge.</li><li>Strong analytical/problem-solving skills and the ability to communicate insights clearly to both technical and non-technical audiences.</li></ul><p><strong><em> Preferred Qualifications:</em></strong></p><ul><li>Exposure to Power Automate for workflow automation.</li><li>Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow.</li><li>Experience with big data technologies (e.g., Spark) and scripting languages (Python, R).</li><li>Knowledge of workforce planning, scenario analysis, and optimization techniques.</li><li>Strong communication skills to present findings to both technical and non-technical audiences.</li></ul><p><strong><em> Key Metrics for Success:</em></strong></p><ul><li>Accuracy and efficiency of SQL-based solutions and data pipelines.</li><li>Adoption and impact of Power BI reports dashboards across business units.</li><li>Operational improvements driven by automation and datadriven insights.</li></ul><p><br></p><p><strong>Compensation</strong></p><ul><li>$46.81 - $56.81 Hourly (W2/Non-Exempt)</li></ul><p><br></p><p><strong><em>Req# 16295</em></strong></p>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><strong>Product Manager – Digital Health Team </strong></div><div></div><div></div><div><strong>Responsibilities</strong>: </div><ul><li>Define and align on North Star and supporting metrics for multiple product areas (growth, engagement, retention, monetization).</li><li>Partner with product teams to set analytics requirements during product development, ensuring instrumentation and event logging are accurate, consistent, and scalable.</li><li>Collaborate with the Data Analyst and Data Science teams to design and prioritize dashboards for executives and cross-functional stakeholders.</li><li>Build and maintain a cross-product measurement framework to ensure comparability and clarity of metrics across apps. </li><li>Partner with Engineering to ensure data quality, event tracking, and instrumentation meet business needs.</li><li>Influence senior leadership by translating data into insights, highlighting trade-offs, and guiding strategic decisions.</li><li>Drive a culture of data-informed decision making across product teams.</li></ul><div></div><div><strong>Qualifications</strong><strong>:</strong></div><ul><li>5+ years of experience in Product Management, Data Analytics, or Business Intelligence, preferably at scale.</li><li>Demonstrated experience in defining and operationalizing key product metrics.</li><li>Strong understanding of data instrumentation, event tracking, and experimentation frameworks.</li><li>Proven ability to partner with analytics, engineering, and executive teams to deliver insights that drive business impact.</li><li>Excellent communication skills with ability to simplify complex data concepts for executives.</li><li>Bachelor of Science/Master's in Computer Science, Mathematics, Data Science, Statistics or a related technical discipline, or equivalent combination of education, training, and experience</li></ul><div></div><div>Compensation: $65 - $85 per hour </div><div>ID#: 36463479</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><strong>Data Product Manager</strong></div><div></div><div><strong>Job Details</strong></div><ul><li>Data Product Manager (Contract)</li><li>Location: San Jose, CA (Hybrd)</li><li>Duration: 9/01/2025 to 4/30/2026</li><li>Team: Data and Analytics_AMER</li></ul><div><strong> </strong></div><div><strong>Key Responsibilities:</strong></div><ul><li>Help develop compelling “jira stories” and UX that convey the relevant synthesized insights in a compelling manner to various internal stakeholders. </li><li>Co-ordinate & documenting with business stake holders for: requirement gathering, analysis, and preparing design documents</li><li>Enable the business to concentrate on driving results, through access to centralized self-service reporting and metrics, supporting a one version of the truth environment.</li><li>Analyze complex business problems and issues from scratch using data from internal and external sources to provide insights to decision-makers.</li><li>Identify the most relevant sources of data/information needed to address the key issues on a project.</li><li>Ability to walk through and analyze data with a view to deliver insights through excel reporting, PowerPoint presentations or displaying that data in a UI.</li><li>Data analytical ability to covert business ask into query logic to retrieve data to create reports and analysis based on business needs.</li><li>Collaborate with data owners to ensure reliable, accessible, high fidelity information within our tools, driving requirements through a focus on stakeholder needs.</li><li>Synthesize information across a wide variety of insight sources including Product Systems, SAP, Salesforce, and Microsoft Dynamics.</li><li>Ability to create simple clickable/working prototypes is a strong plus.</li><li>Organized approach – with wiki documentation, detail jiras, project plans and sprint plans is Must.</li></ul><div><strong> </strong></div><div><strong>Required Skills & Qualifications:</strong></div><ul><li>Bachelors Degree in Engineering.</li><li>Data product management experience with proficiency in building data products, dashboards and ad hoc reports from complex data sets.</li><li>Past experience in Big data analytics using Hive / Presto / SQL</li><li>Past experience in PowerBI/ Tableau dashboarding</li><li>Advance experience is Jira is plus.</li><li>Excellent oral and written communication skills.</li><li>Strong problem-solving and analytical skills.</li><li>Must be a highly collaborative team player.</li><li>Able to communicate effectively with business stakeholders, engineers and users.</li></ul><div><strong> </strong></div><div><strong>Compensation:</strong></div><ul><li>Up to $66.91 per hour.</li></ul><div></div><div>#36300756</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div></div><div><br /></div><div><strong>Sr. Business Intelligence Analyst</strong></div><div></div><div><strong>Division Overview:</strong></div><div>We are the Marketing Analytics and Data Integration (MADI) team, part of the </div><div> Data & Insights Group (DIG) Business Intelligence team. DIG is a key connector among the Streaming verticals. The group consists of subject matter experts that prototype, build, and scale data infrastructure and products; assess, aggregate, and analyze data; and shape qualitative and quantitative-based narratives and insights, providing stakeholders with decision support, performance clarity and business-driving recommendations.</div><div></div><div>The MADI team provides actionable, data-driven solutions to solve marketing challenges. We work closely with Media Strategy and Media Activation teams to drive our growth and retention.</div><div></div><div><strong>Role Details:</strong></div><div>This Sr. Analyst position is to cover a role providing media measurement and analytics for streaming marketing campaigns. This role will design and implement measurement frameworks, deliver insights and analyses, drive project planning, and foster strong partnerships with stakeholders. You’ll be responsible for guiding technical analyses, including researching, reporting, and presenting findings that shape business decisions and deliver actionable insights.</div><div></div><div>Success in this role will require strong analytical skills, the ability to interpret data in context, and the capability to explain marketing performance, industry trends, and cross-platform usage. The ideal candidate brings curiosity, precision, excellent communication skills, and a passion for media.</div><div></div><div><strong>From January 2026, the role is expected to be on-site full time.</strong></div><div></div><div><strong>Responsibilities:</strong></div><div><strong> </strong><strong>Your</strong><strong> Day-to-Day: </strong></div><ul><li>Foster data-informed decision making throughout the streaming marketing organization</li><li>Deliver analyses to inform marketing decision making using Cross-Platform and Clean Room analytics platforms</li><li>Gather data requirements from marketing activation and strategy to design automated data pipelines or build new tables into Google BigQuery data warehouse for reliable and scalable reporting across business uses.</li><li>Partner with data engineers to ensure design, development, and solution builds are tested and validated for signal resilience.</li><li>Clearly provide statuses and project timelines with operational and technical teams as needed.</li><li>Collaborate with team members to ensure dimensions and metrics in data pipelines are compliant with business workflows powering our reporting.</li><li>Support development of auditing tools of existing data sets to check for anomalies and irregularities; leverage tools to escalate data inconsistencies using SQL and Google Cloud Service suite features.</li><li>Partner with data engineers to optimize speed performance of BigQuery tables in supporting dashboards and reports.</li><li>Build dashboards (using Tableau, Python and other BI tools) that illustrate how key performance indicators (KPIs) and metrics are changing over time. Provide “color” and insights from the findings and make recommendations to the business.</li><li>Build data workflows for our marketing data that ensures consistent data integrity.</li><li>Stay current with emerging trends in data science, AI, and marketing analytics and apply them to business challenges</li><li>Perform other related duties including ad hoc reporting and projects as assigned by Director</li></ul><div></div><div><strong>Requirements:</strong></div><div><strong> </strong><strong>You Have:</strong></div><ul><li>BA/BS. 2+ years experience in digital marketing and analytics, web analytics, online media industry.</li><li>Proficient in SQL with a thorough understanding of data and systems' infrastructures; experience extracting, cleaning, and transforming data within databases using SQL</li><li>Experience or coursework in media measurement including cross platform, web, native, app, video measurement technology and standards</li><li>Proficient with analytical tools and languages supporting data analysis, reporting, and visualization - Excel, Microsoft Office, Google Collaborative Apps (Docs, Sheets, Slides), Tableau, R, Python</li><li>Strong detail-orientation with a penchant for data accuracy and good grammar</li></ul><div><strong> </strong><strong>You might also have:</strong></div><ul><li>Strong mathematics, statistics background</li><li>Strong solutions-oriented and critical thinking mindset</li><li>Experience using Google Cloud Platform (BigQuery)</li><li>Experience translating requirements into actionable instructions and documentation</li><li>Experience in working independently to meet deliverables with some oversight</li><li>Experience using project management tools like those from Atlassian (JIRA, Confluence)</li></ul><div></div><div><strong>Compensation: </strong></div><ul><li>$76.00 to $82.37/hr. (W2)</li></ul><div></div><div><strong>Job req# </strong><strong>PMOUNTJP00000977</strong></div></div></div>

<p>We're seeking a Data Analyst for our Transportation department to support our dynamic and growing transportation ecosystem. This role focuses on managing backend platforms, ensuring data integrity, supporting compliance, and enhancing the commuting experience for employees.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Provide operational support across transportation and mobility systems, ensuring day-to-day functionality, accuracy, and alignment with program policies.</li><li>Generate recurring ridership, parking, and usage reports (e.g., PPPM, occupancy dashboards)</li><li>Monitor and triage inquiries submitted through internal support channels (email, Slack, JIRA, etc.), escalating as needed to appropriate teams.</li><li>Generate recurring utilization, ridership, parking, and usage reports</li><li>Support documentation of operational workflows and partner playbooks</li><li>Collaborate with field leads and workplace teams to ensure systems are functioning correctly</li></ul><p><br></p><p><strong>Required Skills:</strong></p><ul><li>2+ years of experience in an Analyst or Analytical role</li><li>Familiarity with enterprise platforms</li><li>Excellent analytical & data skills</li><li>Intermediate Excel skills (Pivot Tables, VLOOKUP, simple modeling)</li><li>Excellent organizational and documentation skills</li><li>Quick learner with high discretion, able to handle sensitive operational issues (e.g., parking equity, ride disputes, billing escalations) with professionalism and limited supervision.</li></ul><p><br></p><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with budgeting or contract tracking tools</li><li>Background in workplace operations, facilities management, or mobility-related programs, with an understanding of cross-functional coordination.</li><li>Familiarity with transportation-related compliance frameworks, such as commuter benefit policies, fringe benefit taxation, or regional mobility regulations.</li></ul><p><br></p><p><strong>Pay Rate</strong>:</p><ul><li>$28-$32.50</li></ul><p><br></p><p>** Onsite expectations are 5 days a week in our San Francisco office</p>

<p><strong><u>Senior Data Analyst</u></strong></p><p><br></p><p><strong>Locations: </strong></p><ul><li>New York, NY 10011 (Hybrid Remote – 3 days per week in the office) </li><li>Atlanta, GA (Remote) with occasional travel to NYC</li></ul><p><br></p><p><strong>Employees: </strong>50</p><p><strong>Industry: </strong>SaaS, Hospitality, Media, Marketing</p><p><strong>Reports To: </strong>Vice President, Product </p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Building forecasting and yield optimization models across the publisher network </li><li>Predicting attribution outcomes and designing strategies that optimize yield </li><li>Owning projects from end-to-end, from data ingestion, advanced modeling, delivering insights </li><li>Refining yield optimization frameworks to maximize ROI for customers </li><li>Applying advanced methods such as time series forecasting, casual inference, clustering, and optimization algorithms</li><li>Delivering reporting and insights to partners and product teams, guiding decision making and product feature development </li><li>Building dashboards and data visualizations to make outputs accessible </li><li>Partnering with engineering teams to embed forecasting and yield models into the platform </li></ul><p><br></p><p><strong>Requirements:</strong></p><ul><li>5+ years of experience in data analysis, forecasting, and yield management </li><li>Expertise in time series forecasting and optimization </li><li>Strong SQL querying and data wrangling skills </li><li>Experience working with marketing, demand generation, and/or digital media data</li><li>Programming skills in Python and/or R for modeling and statistical analysis</li><li>Experience analyzing large, complex datasets from multiple sources </li><li>Exposure to hospitality, travel, or performance marketing attribution is preferred</li><li>Experience with Azure and/or SQL Server is preferred </li></ul><p><br></p><p><strong>Benefits:</strong></p><ul><li>Annual bonus plan, equity, 401K with 4% match, monthly wellness stipend, comprehensive medical and dental insurance plans, long-term disability, and more</li></ul><p><br></p><p><strong>Compensation:</strong></p><ul><li>$120K - $160K + 10% Bonus + Equity</li></ul>

<h3>Job Description</h3><div>Job Description<div><div></div><div><br /></div><div><strong>QA Data Analyst </strong><strong>&</strong><strong> Telemetry Specialist IV</strong></div><div><strong> </strong></div><div><strong>Description:</strong></div><ul><li>We’re looking for a QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence. You’ll be the team’s go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams.</li></ul><div><strong> </strong></div><div><strong>Duties:</strong></div><ul><li>Data Analysis & Log Investigation </li><li>Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.</li><li>Instrumentation Partnership </li><li>Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals.</li><li>Dashboards & Visualization </li><li>Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.</li><li>Written Reports </li><li>Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.</li><li>Root Cause Support </li><li>Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.</li><li>Cross-Team Collaboration </li><li>Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how they’re consumed across tools and stakeholders. </li><li>Quality Metrics Development </li><li>Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.</li></ul><div></div><div><strong>Requirements:</strong></div><ul><li>Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams.</li><li>Strong hands-on experience with data analysis (SQL, Python, R, or similar)</li><li>Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI)</li><li>Able to write concise reports with actionable insights — weekly summaries, defect overviews, quality scorecards, etc.</li><li>Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)</li><li>Comfortable discussing and designing <span class="long-word">instrumentation/logging</span> with engineers</li><li>Familiarity with QA concepts, release validation, and production monitoring</li><li>Strong communication skills; can adapt output to technical and non-technical audiences</li><li>Bonus Points:</li><li>Background in QA, test automation, or release engineering</li><li> Experience with OpenTelemetry, distributed tracing, or event-driven logs</li><li>Experience in continuous delivery environments with real-time observability needs</li><li>Prior involvement in incident reviews or quality postmortems</li><li>Bachelor’s degree (or higher) in one of the following fields is preferred:</li></ul><div>Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics</div><ul><li>Electrical or Computer Engineering Equivalent practical experience is also welcome — especially in QA, data analysis, SRE, or systems engineering roles.</li><li>Relevant certifications (e.g., Data Analytics, SQL, Tableau, or <span class="long-word">Observability/Monitoring</span> tools) are a plus. </li></ul><div><strong> </strong></div><div><strong>Compensation:</strong></div><ul><li>$78.12 – 86.02/hr W—2</li></ul><div></div><div><strong>Req ID: </strong></div><ul><li>36209620</li></ul></div></div>

<p><strong>Sr Data Engineer</strong></p><p><br></p><p><strong>Location: </strong>Blue Ash, OH (On-Site)</p><p><strong>Pay:</strong> Salary (Compensation can vary depending on experience) + Benefits, Community Involvement, PTO, 401k match (10% dollar for dollar), Roth contribution</p><p><br></p><p><strong><u>General Overview</u></strong></p><p>We’re looking for a <strong>Senior Data Engineer</strong> to join our growing Data team. This role plays a critical part in advancing our data infrastructure and supporting the organization’s data-driven initiatives. The position evolves from a traditional Database Admin role into a modern data engineering opportunity as the organization transitions to <strong>Snowflake</strong> and cloud-based platforms. You’ll design, build, and optimize data pipelines, mentor junior engineers, and help shape best practices for data integrity, accessibility, and performance—all without direct managerial responsibilities.</p><p><strong><u> </u></strong></p><p><strong><u>Responsibilities</u></strong></p><ul><li>Design, implement, and maintain scalable, high-performance data pipelines and ETL processes.</li><li>Develop and manage data warehouse and data lake solutions, ensuring data quality, integrity, and reliability.</li><li>Support and enhance the organization’s transition to Snowflake and other cloud-based environments.</li><li>Collaborate with cross-functional teams to translate data requirements into technical solutions.</li><li>Optimize data workflows for efficiency, performance, and cost-effectiveness using modern tools and frameworks.</li><li>Implement and maintain data governance and security measures to ensure compliance with regulatory standards.</li><li>Troubleshoot and resolve issues related to data processing, quality, and system performance.</li><li>Evaluate and recommend emerging technologies and best practices in data engineering and analytics.</li><li>Document technical specifications, data lineage, and system architecture for transparency and collaboration.</li><li>Mentor junior data engineers and contribute to a culture of continuous improvement.</li></ul><p><strong>Requirements</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred).</li><li>6+ years of experience in Data Engineering, Data Warehousing, or related disciplines.</li><li>Proficiency in Python, Java, Scala, and SQL for data manipulation and analysis.</li><li>Hands-on experience with Snowflake or similar cloud data platforms (Azure preferred).</li><li>Strong understanding of data modeling, schema design, and distributed computing architectures.</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Excellent problem-solving and analytical skills with the ability to troubleshoot complex systems.</li><li>Strong communication and collaboration abilities to work across teams and mentor others.</li><li>Prior experience in financial services, insurance, or banking is a plus.</li></ul><p></p>

<h3>Job Description</h3><div>Job Description<div><div><strong>Engineering Manager</strong></div><div><strong>Location: </strong>Atlanta, GA | Hybrid onsite</div><div><strong>Employees</strong><strong>: </strong>500+</div><div><strong>Industry</strong><strong>: </strong>SaaS</div><div><strong>Position Reporting To: </strong>Director of Engineering</div><div><strong> </strong></div><div>We are seeking an experienced Engineering Manager to lead and grow a cross-functional team of talented full-stack and test engineers working on large-scale SaaS platforms. This role combines hands-on technical leadership with people management, and you’ll oversee planning, architecture, delivery, and career development for your team.</div><div></div><div><strong>Most Important </strong><strong>Responsibilities</strong><strong>:</strong></div><ul><li>Hire, lead, and manage a <span class="long-word">technology/engineering</span> team of 5+</li><li>Own end-to-end software development lifecycle and deliver high-quality releases in Agile environment.</li><li>Partner with product management to translate requirements into executable plans.</li><li>Build, own, and operate reliable systems, services and user experiences. </li><li>Establish and maintain technical specifications, coding standards, and best practices.</li><li>Remove roadblocks and ensure consistent, predictable team delivery.</li></ul><div><strong> </strong></div><div><strong>What you can bring to the table to impact this role, team, and organization:</strong></div><ul><li>7+ years of software engineering experience with operational experience leading high-performing teams.</li><li>2+ years of direct people-management experience.</li><li>Bachelor’s degree in computer science or equivalent practical experience</li><li>Full-stack proficiency with NodeJS, <span class="long-word">JavaScript/Typescript,</span> React technology stack.</li><li>Familiarity with tools like AWS, GitLab, Confluence, Heap, Split, Datadog</li><li>Proven ability to decompose complex technical problems into small, user-valued deliverables.</li><li>Experience designing and scaling cloud-based systems and infrastructure (AWS, Kafka, MySQL/Postgres)</li></ul><div></div><div><strong>Featured Benefits: </strong>Technology stipend, medical, dental, vision, 401K matching, PTO.</div><div></div><div><strong>Compensation: </strong>$145,000 - $155,000 + Bonus opportunity</div><div></div></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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