[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