Manager, Data Engineering

Sapient Corporation
Houston, TX, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$140,000.0 - $180,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Systems Information Systems Continuous Integration Data Architecture Information Engineering Data Infrastructure Data Integration DevOps Cloud Platform System Azure Data Factory Snowflake
+8 more
Apache Spark Infrastructure as Code (IaC) Data Lakes Information Technology Deployment Automation Azure Synapse Analytics Data Pipelines Databricks

Job description

As a Manager, Data Engineering, you will play a central role in designing and building the data foundation that powers enterprise analytics, operational reporting, and future AI-driven capabilities. Working across Trading, Finance, Operations, and Technology teams, you ll help deliver scalable solutions that connect complex business systems, improve data accessibility, and drive better business outcomes.

This is an opportunity to work on large-scale data engineering challenges, modern cloud technologies, and high-value business initiatives while helping shape the future of the organization s data platform.

Requirements

  • Bachelor s degree in Computer Science, Information Systems, Engineering, or a related technical field.
  • 8+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related technical roles.
  • Proven experience designing and delivering enterprise-scale data engineering solutions and cloud-based data platforms.
  • Strong experience building scalable data pipelines and data integration frameworks.
  • Experience working with large-scale enterprise data environments and complex business systems.
  • Strong understanding of data modeling, data architecture, and modern data engineering practices.
  • Excellent communication, collaboration, and stakeholder management skills., * Experience in Energy, Utilities, Oil & Gas, Commodity Trading, Financial Services, or other highly data-intensive industries.
  • Hands-on experience with:
  • Databricks
  • Azure Data Factory
  • Azure Synapse Analytics
  • Snowflake
  • Apache Spark
  • Delta Lake
  • Experience supporting Data Product, Data Mesh, or modern data platform initiatives.
  • Experience with CI/CD pipelines, DevOps practices, Infrastructure as Code (IaC), and automated deployment frameworks.
  • Experience integrating large-scale trading, market, operational, and financial systems.
  • Experience working within Agile delivery organizations and cross-functional engineering teams.

Benefits & conditions

Compensation Range: Depending on Experience - $140,000 - $180,000

Benefits of Working Here

  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

Apply for this position

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Prepare application

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