Top Data & Analytics Jobs

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

As a Senior Data Engineer at Jellyfish, you'll build and maintain data pipelines, optimize orchestration, automate CI/CD processes, and enhance data integration while ensuring high performance and reliability.

Expand and optimize data pipelines for cross-functional teams, support developers and analysts, implement process improvements, and build analytical tools for business insights.

Design, build, and operate automated ETL/ELT pipelines and administer the data platform (Snowflake, AWS, dbt, Fivetran). Ensure data quality, CI/CD, cost governance, RBAC and row-level security, provide operational support and participate in on-call rotations as needed.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

Build and maintain scalable, governed data pipelines from ingestion through transformation and integration. Implement schema validation, data quality checks, job monitoring, and production-grade APIs. Work with Python, SQL, Airflow, dbt, AWS (EMR, Athena, S3), Iceberg/Parquet, and contribute to CI/CD, observability, and on-call support while collaborating with analytics and product teams.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

Build user-facing data products by transforming internal data into actionable metrics. Collaborate with platform teams and data scientists to prototype, validate, and prioritize data sources. Write requirements and proposals, engage in user research, and deliver performant Python/SQL-based data features using Databricks and Postgres.

Build and manage data connections, validate and normalize external portfolio data into a standard Clearwater format, automate monitoring and reporting, mine feeds to improve auto-reconciliation, implement Ops/Dev requests, and communicate technical solutions to non-technical stakeholders. Participate in light on-call duties.

Lead complex data engineering initiatives: design, develop, and run tooling to detect data/application issues; evaluate software enhancements; consult with partners to resolve high-risk data engineering challenges; drive technology decisions and deliverables.

Designs and owns enterprise data quality platforms and tooling, translating governance requirements into scalable technical architectures. Assesses platforms and integration patterns (batch, event-driven, API), documents architecture decisions, ensures non-functional requirements, and partners with product and platform teams to deliver governed, auditable data quality solutions.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

As a Senior Data Engineer, you will design and build data pipelines, manage data architecture, ensure data security, and mentor team members while collaborating across teams to create impactful data products.

The Senior Data Engineer will design and develop data pipelines, manage data architectures, ensure data security, and mentor team members, while optimizing processes for large-scale projects.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Lead Data Engineer designs and develops technical solutions, collaborates with Agile teams, and utilizes big data technologies, cloud computing, and full-stack development to drive digital transformation at Capital One.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

Design, build, optimize, and maintain scalable batch and streaming data pipelines using Databricks, Spark, and Python. Collaborate with product, architecture, and analytics teams to deliver reliable, observable datasets, improve data quality and performance, and support downstream reporting and analytics. Contribute to CI/CD, governance, code reviews, and production troubleshooting.

Join the OneGL Data Subledger team to design, develop, test, and maintain data integration solutions. Support data pipelines, debugging, enhancements, production support, testing, and implementation activities under senior engineering guidance to enable month-end financial close.

Design, develop, test, and support scalable data integration solutions and pipelines within the OneGL finance environment. Improve performance, ensure high availability, support month-end close, debug issues, document architecture, and collaborate across technical and business stakeholders to implement and maintain integrations and production support.

Design, develop, integrate, test, and optimize scalable data integration solutions and pipelines for the OneGL finance environment. Support production users and month-end close processes, troubleshoot issues, develop test scripts, and document architectures. Collaborate with technical and business stakeholders, perform gap analysis, and support implementation and post-implementation activities.

Design, develop, integrate, test, and optimize scalable data integration solutions and pipelines within the OneGL finance ecosystem. Support production users, troubleshoot and enhance systems, document architectures, assist testing and cutover activities, and collaborate with stakeholders to enable month-end financial close.

Support design, development, testing, and maintenance of data integration solutions for the OneGL finance environment. Analyze and debug pipelines, execute tests, assist with enhancements, document solutions, and support production and month-end close activities under senior guidance.

Lead design and optimization of high-throughput data ingestion pipelines and Python-based microservices. Drive architectural decisions, performance tuning, observability, and scalability across distributed systems. Partner with platform, data, and product teams to standardize ingestion frameworks and enable analytics-ready data in Snowflake for reporting and downstream systems.