Top Data & Analytics Jobs

Design, build, and maintain scalable GCP data architectures and ETL/ELT pipelines (batch and streaming) using BigQuery, Dataflow, Apache Beam, Cloud Storage, and Pub/Sub. Implement performance tuning, data quality and governance, secure access controls under federal requirements, and automated CI/CD for deployments. Collaborate with data scientists and infrastructure teams to modernize legacy systems and optimize data models for mission use.

Design, build, and deploy production-grade data and AI solutions on Databricks. Create scalable data pipelines, APIs, and Databricks Apps, integrate LLMs/AI APIs, deploy to cloud, implement CI/CD and governance (Unity Catalog), debug full-stack issues, and provide hands-on technical guidance to clients.

Develop and maintain business intelligence reports, dashboards, and visualizations using BI platforms. Write SQL queries in Oracle and Databricks, support dimensional data models and data warehousing, gather reporting requirements, optimize query and report performance, and help manage documentation, version control, scheduled refreshes, and reporting enhancements. The role also supports AWS-based reporting solutions and collaboration with technical and business stakeholders.

Design, build, and operationalize complex data pipelines and products to support analytics and AI/ML. Analyze and transform source data, enforce data governance/security/quality, resolve high-complexity incidents, mentor team members, and partner with business stakeholders to deliver reusable, scalable data platform capabilities.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

Lead design and scaling of ELT pipelines and analytics schemas on Snowflake. Build Looker views, CI/CD automation, and orchestration workflows (Prefect/Airflow). Ensure production reliability with monitoring (Datadog, Monte Carlo), partner with cross-functional teams, and provide technical leadership including code reviews, testing, and end-to-end ownership of data integrity and platform trustworthiness.

Design, implement, and administer operational data flows: ingest, clean, enrich, transform, secure, and move mission-critical data. Perform exploratory data analysis, troubleshooting, and collaborate with customers to ensure compliant, reliable data pipelines.

Build and operate scalable data ingestion, transformation, and connector frameworks; design and maintain a knowledge-graph-based data fabric; normalize and vectorize enterprise data for LLM/AI workflows; implement governance, lineage, access controls, and secure APIs to serve ML/agent pipelines.

Design, build, and support scalable data platforms and pipelines (ETL, warehousing, APIs) using DBT, Snowflake, and SQL. Collaborate with architecture, security, and application teams, build CI/CD, provide escalated on-call support, mentor staff, and deliver data solutions for the bank.

As a Data Engineer, you will design, maintain data pipelines, collaborate with stakeholders, and optimize data solutions across various departments.

Design and maintain scalable ETL/ELT pipelines, develop data solutions using Databricks and Snowflake, and collaborate with cross-functional teams to ensure data quality and performance optimization.

Looking for a Data Engineer focused on data visualization with experience in handling real-world data and effective communication through data. Extra credit for skills in probabilistic classifiers and full-text search engines.

Serve as a senior technical lead for data engineering consulting: work with customers, design complex data models, write and review efficient code, resolve complex bugs, mentor engineers, lead cross-functional development, and plan/execute automated and performance tests to deliver high-quality data solutions.

Design, build, and optimize scalable Azure-based data pipelines and data warehousing solutions. Implement ETL/ELT, data cleansing, validation, batch and real-time processing, monitor and troubleshoot pipeline performance, ensure data governance and security, document data flows, and collaborate with analysts and stakeholders to deliver reliable analytics-ready data.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The role involves designing and managing data pipelines, developing canonical datasets, and ensuring data integration and compliance. Collaborate across teams to meet data needs and maintain data architecture.

As a Data Engineer, you will build and scale data pipelines, optimize advertising effectiveness, and handle large datasets using AWS, Airflow, and Snowflake.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

Designs, builds, and operates production data pipelines supporting AI-enabled engineering workflows. Owns data curation, indexing quality, pipeline reliability, schemas, governance, metadata, lineage, and data-quality controls. Partners with AI, IT, and engineering teams to integrate systems such as Windchill, Jira, GitLab, and AWS. Supports retrieval-augmented generation, agentic workflows, evaluation harnesses, and production scaling in a regulated medical-device R&D environment.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

Develop and maintain scalable data pipelines and infrastructure using GCP services including BigQuery, Dataform, and Airflow. Optimize data processing for performance and cost, implement data quality testing, build data models and reusable components, and establish CI/CD practices. Collaborate across teams, contribute to architecture and documentation, mentor junior engineers, and apply AI tools to improve engineering workflows.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

As a Data Engineer, you will design, build, and manage data pipelines, improve data architecture, ensure accuracy, and collaborate with various teams.

Serve as the technical owner for customer-facing data workflows and integrations: build pipelines, write SQL and Python scripts, deploy AI-powered workflows, manage APIs and Snowflake ingestion, and translate repeatable solutions into product requirements while supporting customer success and internal engineering.