Playlist (ClassPass) seeks a senior engineer with 5+ years' experience to design and build data models and ETL (dbt, Snowflake), deploy and monitor ML models (recommendation, personalization, pricing), apply statistics and experimentation, and follow backend engineering best practices (CI/CD, testing, observability). US-based role with a listed base salary range of $150,000–$200,000.

The Home Depot is hiring a Senior Data Analyst for supply chain based in Atlanta (telecommuting available). The role involves building dashboards and reports, writing complex SQL, performance tuning databases, managing ETL/data pipelines, and using Python (Pandas/NumPy) and Tableau. Requires a bachelor's degree and at least 2 years of related experience; candidate must be legally permitted to work in the United States.

The role leads design and implementation of enterprise data warehouse architectures and analytical data sets on Google Cloud (BigQuery), authors SQL and Python solutions, implements DataOps/orchestration, and defines reliability practices (SLOs, monitoring, dashboards). Requires a bachelor's degree and 7 years' related experience, including extensive hands-on work with BigQuery, data governance, query optimization, and retail omnichannel data.

The Data Scientist will design and develop algorithms and models on large datasets to generate business insights, support data science initiatives across projects, and build a library of reusable algorithms and data products. Requires a Master’s degree and 4 years of related experience (including 3 years using tools/skills such as Python, numpy/pandas/scikit-learn, Google BigQuery/SQL, advanced SQL, and Tableau). Telecommuting is available.

Hands-on senior analytics role at a US-based remote CRO agency. Own client analytics roadmaps, build attribution and ROI models, resolve data parity and integration issues, and use SQL/Python/R/JavaScript. Requires 5+ years web or marketing analytics experience. Occasional client travel. Role restricted to hires within the United States.

The Sr. Manager, Martech Data Engineering leads strategy and execution for marketing data capabilities (CDP, identity, activation pipelines, data integrity), manages engineering managers and teams, partners with Enterprise Data & Analytics and product stakeholders, and drives roadmap, scalability, and platform reliability. Role requires leadership experience, technical background in data/cloud engineering, and proficiency in object-oriented programming (preferably Java).

Own design and execution of quantitative testing (pre/post-launch) for AI/ML and LLM systems, build and maintain monitoring pipelines and dashboards, manage data lineage and data quality checks, write production SQL/Python pipelines and support data migrations, and prepare documentation and evidence for Internal Audit and regulators. Remote (USA), requires 4+ years experience. Annual base salary range: $148,835–$175,100 USD.

EnergyHub seeks a Senior Analytics Engineer / Data Analyst (3+ years) to analyze large-scale EV telematics and charging data, improve data quality, build data models and automated BI reporting (Tableau, Looker, Sigma), and collaborate with engineering, product, and partners. Role requires experience with cloud warehouses (Snowflake, BigQuery, Redshift), dbt, SQL, and tools like Python/Jupyter, R, or Julia. Sponsorship is not available.

The role joins a product team to design and implement machine learning solutions embedded in software products, collaborate with UX/engineering/product management, perform performance tuning, testing, monitoring, and some data engineering. Preferred skills include Python, ML libraries (TensorFlow, PyTorch, scikit-learn), GCP (Vertex AI, BigQuery), SQL, CI/CD, Node.js and front-end familiarity. Travel typically 5–20% overnight. Minimum 1 year of relevant work experience. Pay range listed: $90,000–$170,000 (annual, as stated for listed states).

Lead development of versioned benchmark suites and graders for long-horizon agents handling finance workflows. Run and report benchmark suites across models and agent versions, design rubrics and programmatic checks (including LLM-as-judge), and turn evals into reward functions and RL environments to inform post-training and production decisions. Requires hands-on LLM eval experience, strong Python and software engineering, SQL and large-dataset experience, RL/post-training knowledge, and statistical judgment.

Lead design and implementation of simulation, evaluation, and data infrastructure for Level 4 autonomous driving and robotics, including data formats (Protobuf, Arrow, Parquet, MCAP), high-performance pipelines, APIs, workflows, and observability. Requires 15+ years in software engineering focused on distributed, data-intensive systems and proficiency in Go, Python, or Java.

Responsible for configuring and maintaining mappings in the integration platform (transforms, formulas, conditional logic, filters, literal values), validating results, diagnosing mapping issues, documenting specifications and test evidence, and enabling internal teams. Works with AMS/CRM integrations, APIs, authentication, and supports onboarding, data conversion, troubleshooting, and technical escalation.

NVIDIA seeks a Senior Agentic Insights Engineer to develop production agentic AI workflows (MCP/tool-calling/LLM orchestration) connected to enterprise data platforms (eg. Databricks lakehouse). The role delivers validated, persona-based executive recommendations via Slack/Teams, partners with planning and data warehousing teams, and requires 12+ years in data/analytics/AI engineering plus experience converting data into operational suggestions for leadership.

Join Coinbase Finance Analytics to design and own curated financial datasets and scalable ETL/ELT pipelines (Snowflake/Databricks, dbt, Airflow). Responsibilities include making pipelines audit-ready (SOX controls, lineage), supporting month/quarter-end close, defining reconciliation and data-quality frameworks, driving data contracts, and mentoring engineers. Staff-level leadership and deep SQL, Python, and modern warehouse experience are required.

Build and maintain dbt models and BigQuery datasets, develop LookML and self-service analytics, implement automated tests and monitoring, reconcile and debug data issues, optimize performance, and contribute governed datasets and semantic definitions for analytics and AI. Requires 5+ years experience, advanced SQL, substantial dbt and LookML experience, BigQuery (or comparable warehouse) knowledge, and working proficiency in Python or Go.

Responsible for engineering version-controlled HR data pipelines (Google BigQuery), maintaining secure and auditable access to sensitive HR/payroll data, documenting data assets, responding to pipeline incidents, and producing analyses and dashboards to inform HR and business decisions. Requires working with SQL, pipeline tools (dbt/Dataform), Git, Python or automation tools, and experience with HR/payroll data; minimum 2 years of experience and legal authorization to work in the United States.

Seeking a Senior Data Scientist to apply statistical and machine learning techniques to healthcare claims, financial, and public data to build entity resolution, affiliation/network mapping, clinical ontologies, and account-targeting models. Requires 5+ years of data science experience and 5+ years working with healthcare data and the US healthcare system. Responsibilities include taking prototypes to production in partnership with Product, Data Engineering, Engineering, and QA.

Hands-on technical leadership role to architect and scale systems for source discovery, crawl frontiers, distributed fetching, and ingestion of open-web, licensed, and partner content for model pretraining. Requires 15+ years in software engineering, deep experience with web crawling or related ingestion infrastructure, and strong skills in distributed systems, observability, and data governance.

Responsible for designing and implementing evaluation and analysis tooling, services, APIs, CI pipelines, and data contracts to enable AV and ML engineers to analyze logs, assess model behavior, and debug regressions at scale. Requires systems and data platform experience, strong programming skills (Python/Go), and 12+ years of software engineering experience.

Join Coinbase's Blockchain Data Platform to design, build, and operate ultra-low-latency distributed systems for real-time blockchain data ingestion, indexing, and query. Responsibilities include end-to-end service ownership, chain integrations, migrations/backfills, performance and architecture improvements, and partnering on SDKs and data contracts. Requires 2+ years building and operating distributed or data systems and proficiency in backend languages such as Go or Python.