[Remote] Senior Data Engineer - Remote
Note: The job is a remote job and is open to candidates in USA. Dice is a global organization that delivers care, aided by technology to help millions of people live healthier lives. As a Senior Data Engineer, you will design and optimize scalable ETL pipelines and workflows, supporting large-scale healthcare datasets while ensuring data accuracy and integrity. This role offers the opportunity to work remotely while contributing to high-performance data applications in a fast-paced environment.
Responsibilities
- Design, develop, and optimize scalable ETL/data pipelines across platforms such as SQL Server, Snowflake, and Databricks
- Work with large, complex healthcare datasets (e.g., claims, membership, provider data), supporting enrichment, transformation, and reconciliation processes
- Support recurring production cycles in a fast-paced, SLA-driven environment, including monitoring, validation, and issue resolution
- Lead and support critical production issue resolution, including root cause analysis and implementation of corrective actions
- Partner with business stakeholders, analysts, and actuaries to translate complex requirements into reliable data solutions
- Conduct code reviews and promote best practices to ensure high-quality, maintainable solutions
- Provide accurate and timely estimates for development and support work
- Ensure data accuracy and integrity through validation, reconciliation, and quality controls
- Serve as a technical leader within the team by contributing to design decisions, standards, and continuous improvement efforts
- Collaborate with team members to meet or exceed service level agreements and delivery commitments
Skills
- 6+ years of data engineering work experience
- 6+ years of experience designing and developing ETL/data pipelines
- 6+ years of experience working across the full software development lifecycle (SDLC)
- 3+ years of experience working with cloud-based data platforms such as Snowflake, Azure, and/or Databricks
- 3+ years of experience in Python
- Solid hands-on experience writing and optimizing complex SQL in enterprise-scale environments
- Proven ability to work with large, complex datasets and deliver scalable, high-performance solutions
- Experience developing ETL Processes using Microsoft SQL Server Integration Services (SSIS)
- Experience with additional programming languages such as .NET
- Experience working with healthcare data, including medical, pharmacy, or administrative claims
- Experience writing and executing functional and technical specifications
- Familiarity with data modeling concepts and data warehousing principles
- Demonstrated proficiency with database design, querying, optimization, and troubleshooting in Oracle, SQL Server, and/or Teradata
- Demonstrated proficiency in database design, querying, optimization & troubleshooting with any of the following RDBMS: Oracle, SQL Server, and/or Teradata
- Proven ability to be self-motivated and be able to work both independently and in a team environment
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview