Top Data & Analytics Jobs

Build data pipelines, tools, and infrastructure for large-scale data warehousing alongside experienced data engineers. Work with AWS, Redshift, Glue, ECS, DMS, Fivetran, Airflow, DataHub, Terraform, Python, and SQL while partnering with Risk, Commerce, Marketing, Operations, and Finance stakeholders. Interns will ship production improvements, present their work, and gain practical experience in data engineering at a fintech startup.

Analyzes healthcare claims, provider, pharmacy, and enrollment data to identify trends, improve data quality, optimize workflows, reduce costs, and support business decisions. Translates business needs into requirements, develops complex SQL queries, validates data, recommends process improvements, coordinates projects, and serves as a liaison among operations, research and development, IT, and external partners. Also mentors team members and communicates technical findings to nontechnical stakeholders.

Owns and codifies business definitions and calculation methods for legal spend analytics, audits legacy Excel/PowerPoint artifacts, validates analyses (SQL and AI), supports reporting and storytelling for senior law department and C-suite audiences, and helps migrate analyses into modern analytics tooling.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Build and operate production data pipelines and warehouse models for a global energy trading platform. Develop Python pipelines orchestrated with Prefect, create tested Snowflake models with dbt, migrate legacy Oracle systems, integrate diverse data technologies, and implement quality, freshness, monitoring, and alerting controls. The role also supports AI-ready data, AWS services, platform documentation, and direct collaboration with analysts and desk users.

Designs, implements, and sustains secure mission data pipelines for the Department of the Air Force’s DIFC2 program. Responsibilities include mission data architecture, interface and schema definition, ETL and transformation development, API integration, monitoring, documentation, and RMF compliance. The role requires collaboration with government, cybersecurity, and mission partners to deliver reliable, interoperable data flows in a defense environment.

Analyzes global market microstructure, trading algorithms, execution data, and performance across equity and FX markets. Develops execution analytics, reporting frameworks, trading signals, and machine learning models to improve trading strategies. Advises execution traders, evaluates vendor tools and data, automates workflows, and supports quantitative research projects. The role requires strong programming, statistical, AI and machine learning capabilities, familiarity with financial markets, and flexibility across trading hours.

Administer Raiser's Edge and Raiser's Edge NXT for fundraising and membership programs. Maintain constituent data integrity, governance standards, security, duplicate management, imports, exports, integrations, reporting, dashboards, and segmentation. Support donor and member analytics, portfolio management, reconciliations, staff training, system transitions, documentation, and user support. Collaborate with Development, Membership, Finance, Marketing, and other departments to improve data quality, reporting, and constituent relationship management.

Analyzes B2B marketing performance across campaigns and channels, builds dashboards and forecasting models, measures ROI and funnel metrics, evaluates lead and pipeline quality, supports experimentation, and presents actionable insights to guide marketing investments and partner growth.

Leads end-to-end data engineering solutions across multiple client engagements, from discovery and architecture through production support. Designs and optimizes Snowflake data platforms, models, warehouses, ELT/ETL pipelines, APIs, integrations, and deployments. Provides technical leadership, client communication, estimation, governance, performance and cost management, engineering standards, mentoring, training, and production escalation support.