Top Data Engineer Jobs

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The Data Engineer will enhance data pipelines, support data analysts, and optimize data architecture for cross-functional teams. This role involves data extraction, transformation, and analytics to meet reporting needs.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

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, build, optimize, and maintain large-scale database systems, ETL/ELT pipelines, data lakes/warehouses, and secure data architectures. Mentor team members, participate in Scrum, perform code/design reviews, and collaborate cross-functionally to deliver production-quality data products.

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.

Design, build, and maintain scalable data pipelines and dbt data models to support financial analytics. Integrate and transform complex financial datasets using SQL and Python, ensure data quality and compliance, deploy changes, and proactively monitor and improve ETL processes for reporting and strategic decision-making.

Lead design and delivery of enterprise data platforms using Snowflake and AWS. Architect ELT/CDC pipelines, implement Data Vault 2.0 and dimensional models, optimize Snowflake performance, mentor engineers, partner with stakeholders, and ensure operational reliability and observability for analytics and BI workloads.

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.

As a Senior Data Engineer, you will design and optimize data platforms, build data pipelines, mentor team members, and drive technical excellence while collaborating with cross-functional teams.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

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, build, and maintain scalable data pipelines into an enterprise cloud data warehouse to enable analytics, reporting, and advanced solutions. Collaborate with data architecture, IT operations, DBAs, infrastructure teams, analytics leaders, and business stakeholders to ensure system availability, performance, and timely resolution of data issues.

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

The Principal Data Engineer leads the integration and optimization of data solutions, writes advanced SQL, automates processes using Python, and ensures data governance.

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.