Senior Data Engineer (26-00399) -

Senior Data Engineer

Make an impact like never before.

We're growing rapidly and are looking for a Senior Data Engineer

This role can be worked remotely from anywhere within the USA.

Contract to Hire

We're a close knit team that has access to global resources. You'll have the opportunity to explore a wide range of industries, technologies, and geographies, all while enjoying the personal touch that our local operating approach offers.

Growth at is driven by your goals, so if you're looking for an inclusive place where you're empowered to chart your own path, then we'd love to meet you.

• Impactful Work

. You'll be at the forefront of delivering strategic consulting solutions that shape business outcomes for leading organizations.

. Opportunity to work on diverse, high impact projects that challenge your thinking and expand your expertise.

• Growth & Development

. Clear career progression with access to leadership mentoring and professional development programs.

. Exposure to cutting edge technologies and methodologies that keep you ahead in the consulting space.

• Collaborative Team Environment

. Join a team of seasoned professionals who value knowledge sharing, innovation, and collaboration.

. A culture that encourages open communication, mutual respect, and continuous learning.

• Flexible & Supportive Work Environment

. Hybrid work model offering flexibility to balance professional and personal priorities.

. Strong emphasis on work life balance and employee well being.

• Inclusive Culture

. Diversity and inclusion are core values—your voice matters here.

. Opportunities to participate in employee resource groups and community initiatives.

Your future duties and responsibilities

. Design, develop, and execute test plans, test scenarios, and test cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions.

. Perform end to end ETL testing and validate data accuracy, completeness, transformation logic, reconciliation, and data quality across source and target systems.

. Develop and execute complex SQL queries for backend and data validation testing.

. Test large scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hive, Hadoop/HDFS, and Azure Data Factory (ADF).

. Perform functional, integration, regression, system, and data quality testing across data pipelines and applications.

. Validate batch processing, job scheduling, dependencies, and workflow execution using Control M and Unix/Linux environments.

. Identify, document, track, and retest defects while collaborating with developers, data engineers, business analysts, and other stakeholders through resolution.

. Develop and maintain reusable test scripts and automation solutions where applicable.

. Participate in Agile/Scrum activities including sprint planning, refinement, daily stand ups, reviews, and retrospectives.

Required qualifications to be successful in this role

. 8+ years of experience in software quality engineering/testing, with strong experience in ETL testing, data validation, integration testing, and regression testing.

. Strong hands on SQL skills, including writing complex queries for source to target validation, reconciliation, and data quality testing.

. Experience testing large scale data platforms and ETL/ELT pipelines.

. Hands on experience with Databricks, Apache Spark, PySpark, Python, and Azure Data Factory (ADF).

. Experience with Hadoop ecosystem technologies including Hadoop/HDFS and Hive.

. Experience working with Unix/Linux environments and enterprise job scheduling tools such as Control M.

. Strong understanding of data quality concepts, data transformations, data mappings, and source to target validation.

. Experience with defect management and test management processes within Agile/Scrum delivery environments.

. Strong analytical, troubleshooting, communication, and collaboration skills.