The Data Quality Analyst II develops and implements data quality policies, automated reports, scripts, and dashboards; analyzes structured and unstructured data; performs statistical tests; and provides QA and technical leadership within an Agile (SAFe) environment. Requires a bachelor’s degree in a related field, 5+ years in data analytics, proficiency with Excel, SQL/R/Python, visualization tools (Power BI, Tableau), and ability to obtain a Public Trust clearance.

NVIDIA is hiring a Senior Systems Software Engineer for the Apache Spark Acceleration group to build and operate a hosted Spark service (Java/Scala) on Kubernetes, package the cuDF Spark plugin, and extend the CPU/GPU workload router. The role involves production incident investigation, instrumentation, on-call rotation, and collaboration with upstream projects; requires 9+ years' software development experience and proficiency in Java or Scala plus C++ or Python. Expected base salary range: 184,000–287,500 USD per year.

GitHub is hiring a Staff Security Data Engineer to design, build, and maintain scalable, reliable data infrastructure and security telemetry across Azure (and AWS). The role owns pipelines, compute clusters, tables, and data models to support security monitoring, detection, hunting, incident response, and investigations. Requires deep hands-on experience with Azure infrastructure, Kusto/KQL, Apache Airflow, Terraform, and Python; leadership across organizational boundaries; and senior-level security experience (role lists 10+ years as one explicit qualification).

TransUnion seeks a Senior Consultant to lead technical architecture and production-ready system designs for MTA products, translate complex business requirements, represent the team on cross-functional projects, and drive process and quality improvements. Required: Master’s degree plus 3 years in AdTech/MarTech software architecture. Key technologies include SQL, ETL, BigQuery/GCP, Snowflake, Hadoop/Hive, Tableau, A/B testing, and machine learning techniques.

Veeva seeks a Global Data Science Lead to manage and mentor data scientists, AI/ML engineers, and analysts, translate Data Science AI strategy into delivery, and oversee design, deployment, and governance of ML and LLM systems for life sciences customers. The role requires advanced data science expertise, experience with LLM-based systems, and proven leadership of teams of 10+.

Veeva is hiring a Global Data Science Lead to manage a team of data scientists, AI/ML engineers, and analysts supporting the Global Analytics Business Consulting team. Responsibilities include translating AI strategy into delivery, owning global methodology (model management, observability, testing, deployment), building scalable data and AI infrastructure, and collaborating with consulting and product stakeholders. Experience with life sciences data, LLM systems (prompting, RAG, agentic workflows, fine-tuning), and leadership of 10+ people is required. Location: New York City. Listed base pay range: $120,000–$250,000.

Role on the Query team to design, build, and operate data ingestion and ClickHouse-backed storage for historical and analytical workloads; serve data via domain-level APIs and public APIs. Requires strong backend skills (Go preferred), experience with data-intensive systems (ingestion pipelines, event-driven architectures, analytical/columnar datastores), observability, distributed-systems judgement, and technical leadership. Minimum 5+ years building and operating production backend systems.

NVIDIA seeks a Senior Architect for Data Processing Systems in Analytics & Data Intelligence to drive hardware-software co-design, full-stack performance optimization, benchmarking, and workload analysis across CPU/GPU platforms. Requires MS/PhD or equivalent and 8+ years in distributed data platforms, systems engineering, performance architecture, or related areas.

Lead work at the intersection of data engineering and accounting to build trusted financial data products: scalable pipelines, automated reconciliations, dashboards, and a finance data lake. Requires 7+ years in data analytics/data management within financial services or regulated industries, strong SQL and Python, experience with dbt/Spark/Airflow, and direct finance/accounting data experience.

Wikimedia Foundation paid internship (4 months, 40 hrs/week) starting late February 2027; fully remote (US hiring scope), with US hourly pay range US$34.32–$42.13. Interns are embedded in engineering teams (e.g., Mobile Apps, Editing, Data Platform, Release Engineering, Tools Infrastructure/Observability) and work on open-source projects with a manager and mentor. Applicants should have basic experience with at least one programming language (e.g., PHP, JavaScript, Python, Kotlin, Swift), databases, scripting, and/or SQL; the application deadline is November 20, 2026.

Join Reddit's ML Platform (ML Data Team) to design, implement, test, and operate ML infrastructure including signal-governance, prediction logging, and training-data systems. Requires 5+ years in ML platform work, experience with large-scale batch and streaming pipelines, distributed systems, and production reliability/observability practices. Base salary range (US) provided.

Reddit is hiring an Analytics Engineer to develop and maintain large-scale ETL/ELT systems, data pipelines, data integrations, and data quality/monitoring for Consumer, Ads, and Marketing teams. The role requires strong programming (Python, SQL, Spark, Scala), experience with data workflows (e.g., Airflow), data modeling, dashboarding, and cross-functional collaboration; it lists a minimum of 3 years' relevant experience and is a U.S.-based remote position with a listed salary range.

Lead SAP Analytics solution architect role (remote Canada, with travel to the USA). Responsible for SAP Analytics strategy and roadmap, SAC implementations and planning models, integration with BW/4HANA, HANA and S/4HANA, data extraction and high-performance analytics, and mentoring analytics teams. Requires 10+ years SAP experience and deep expertise in SAC, SAP Data Warehouse technologies and end-to-end SAP analytics implementations.

The role designs, builds and maintains batch and incremental Databricks pipelines (including SCD2 history and reconciliation), extends MDM matching and master ID assignment, and creates financial datasets in partnership with cross-functional teams. Responsibilities include CI/CD delivery via GitLab and Databricks Asset Bundles, automated tests and schema checks, Unity Catalog governance (least-privilege sharing, PII masking, lineage), on-call rotation and runbook documentation; 4–6 years of data engineering experience is required.

Lead a team of eight to define data access strategy, own semantic models and governed metrics, build telemetry/evals for LLM-powered data access, ship production data applications combining Snowflake/Postgres and AI, and set engineering standards. Requires 12+ years in analytics/data engineering or BI with 5+ years leading teams, deep dbt and Snowflake expertise, SQL mastery, experience with LLM-powered data access, and strong data governance experience.

Qualified (acquired by Salesforce) is hiring a senior engineer for its Data Team to design, ship, and operate production data systems: data models, ETL pipelines, event streaming, analytics stores, and Data APIs. The role emphasizes technical leadership, data quality (SLOs, contracts, observability), and owning Salesforce data flows at enterprise scale. Remote role listed for San Francisco, California; base salary range provided.

Join Quora's distribution team to own and advance second-phase ranking models for feed and digest. Responsibilities include end-to-end ML system ownership (data pipelines, candidate extraction, feature engineering, model training, production integration) and collaborating with other ML engineers. Minimum: 3+ years experience on recommendation or ranking models, availability during Mon–Fri 9am–3pm Pacific Time. Preferred: strong Python or C++ experience, transformers/sequence modeling, and experience leading large projects.

Lead and develop a team building Reddit's Knowledge Graph Platform: set technical roadmap and operating standards (SLOs, observability, data quality/governance), leverage LLMs and agentic patterns for graph construction, partner with engineering and domain teams, and drive platform adoption for internal consumers. Requires 8+ years software engineering experience and 2+ years managing teams; remote (US & Canada only).

The role involves building and operating data platform infrastructure across the full data lifecycle (ingestion, streaming, transformation, delivery) using tools such as Apache Airflow, Spark, Flink, Kafka, Iceberg, and dbt. Responsibilities include collaborating with stakeholders, co-creating data contracts, writing documentation, monitoring and optimizing pipelines, provisioning resources with Terraform on GCP, performing code reviews, processing access requests, and supporting compliance (including SOX where applicable).

Staff Data Engineer for the Enterprise Data Warehouse focused on designing and operating enterprise-scale data platforms, semantic layers, and downstream analytics. Requires strong SQL and Python skills, experience with cloud data warehouses (BigQuery preferred), CI/CD and orchestration tools (Jenkins, Airflow), data modeling, performance tuning, and mentoring other engineers. Remote role; must be legally permitted to work in the United States. Salary range (for listed US locales) $120,000–$190,000/year.