Top Data Engineer Jobs

Lead end-to-end enterprise data migrations and consolidations from legacy ERPs to cloud platforms. Design cloud architecture, build automated ETL/ELT pipelines and ontology-driven schemas, implement CDC and validation frameworks, deliver dashboards and migration controls, advise executives, and develop reusable accelerators while mentoring teams and enabling client post-migration governance.

Design, build, and maintain scalable Azure-based data pipelines, enterprise data warehouse and data lakes. Develop complex SQL, ETL/ELT, data models, BI dashboards, ensure data quality, support analytics, and mentor team members.

Develop and implement scalable data solutions, automate workflows, build databases and applications, perform data mining, NLP, and machine learning on structured and unstructured data, create dynamic visualizations and reports, write queries and ETL pipelines, and consult with government stakeholders to improve data-driven decision making and processes.

Design, build, and maintain scalable cloud data infrastructure and Lakehouse pipelines (bronze/silver/gold) using AWS and Snowflake. Collaborate in Scrum with TPMs, data scientists, and stakeholders to translate requirements, optimize ELT workflows, enforce data security and PHI governance, support data cataloging, and mentor junior engineers.

Build and operate scalable web-scraping services and data pipelines on AWS; manage scrape intake, validation, storage, entitlement, and stakeholder coordination; implement data quality checks and support internal clients including portfolio managers and compliance.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Design, build, and maintain scalable ETL/data pipelines and data models using Snowflake and AWS. Automate data ingestion, optimize query performance, liaise with Data Science and Application teams, and ensure reliable deployments from development to production.

Lead design, optimization, and management of enterprise data platform infrastructure with a focus on advanced SQL Server environments. Manage HA/DR, perform T-SQL development and performance tuning, enforce DB security, build scalable Python-based data pipelines and AWS IaC, integrate REST APIs, and architect AI/ML-ready data workflows.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

Lead data platform architecture and delivery for healthcare-focused Lakehouse/Warehouse solutions. Drive Databricks/AWS design, governance, security (PHI/PII), ETL/Delta Live Tables, APIs, modeling (FHIR/OMOP), IaC (Terraform), pipeline performance, and cross-functional collaboration to deliver scalable, production-grade data products.

Design and implement enterprise Databricks/AWS data platform and lakehouse solutions for healthcare data. Build and optimize ETL pipelines (Delta Live Tables), medallion architectures, streaming and batch processing, data models (FHIR/OMOP), governance (Unity Catalog), security for PHI/PII, IaC with Terraform, and collaborate with cross-functional teams to deliver reliable, cost-effective external and internal data products.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

As a Senior Data Engineer, you'll optimize and maintain data platforms, develop integrations, and collaborate cross-functionally to enhance analytics and decision-making capabilities.

The Data Integration Engineer will design and build scalable data pipelines and manage data warehouses, integrating various data sources and ensuring data quality and operational reporting.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

As a Sr. Data Engineering Consultant, you will build and optimize scalable data solutions and mentor teams while collaborating with clients on data modernization projects.

Design, build, and operate high-scale streaming and batch data pipelines using Kafka, Flink, and Airflow. Optimize Redshift and Iceberg/Athena performance and cost. Ensure data quality, observability, SLAs, and serve reliable datasets/APIs. Mentor engineers and collaborate cross-functionally to deliver low-latency, production-grade telemetry and analytics data assets.

The Senior Data Engineer leads data engineering efforts, coordinating project execution and collaborating with teams to develop data solutions for Navy and DoD programs.