\\\\Senior Data Engineer\\\\ \\\\Anywhere\\\\ \\\\Type:\\\\ Contract \\\\Category:\\\\ Engineer \\\\Industry:\\\\ Financial Services \\\\Workplace Type:\\\\ Remote \\\\Reference ID:\\\\ JN -042026-106264 \\\\Date Posted:\\\\ 04/05/2026 \\\\Shortcut:\\\\ \\+ Description \\+ Recommended Jobs \\\\Description:\\\\ \Remote\\ Our client seeks a Senior Data Engineer to deliver end-to-end Salesforce data migrations using IBM DataStage, SQL, and Python. The role will map source-to-target data, build ETL workflows, cleanse and validate data, and execute mock and final cutovers from Snowflake and on-premise systems into Salesforce. The engineer will produce reconciliation reports and a migration runbook while partnering with Salesforce and data governance stakeholders. The work will emphasize repeatable, auditable processes and performance optimization. \Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.\\ Rate: $63.00 to $73.00/hr. w2 \\\\Responsibilities:\\\\ \\+ Develop source-to-target mapping specifications with field-level transformations, deduplication logic, and validation rules. \\+ Build and configure ETL workflows using IBM DataStage, SQL, and Python to automate extraction, transformation, and loading into Salesforce. \\+ Profile source data, assess data quality issues, and implement cleansing and standardization routines. \\+ Execute mock migration runs, capture error logs, perform root-cause analysis, and implement remediation steps. \\+ Perform final production data loads and verifications with business sign-off. \\+ Produce reconciliation reports to validate accuracy, completeness, and referential integrity post-migration. \\+ Author a comprehensive migration runbook covering workflows, schedules, controls, rollback, and support procedures. \\+ Implement quality checks, lineage notes, and audit artifacts aligned to governance and compliance requirements. \\+ Partner with Salesforce teams to respect object relationships, load order, and platform limits during migrations. \\+ Optimize ETL performance and automate repetitive validation tasks. \\\\Experience Requirements:\\\\ \\+ Hands-on experience with IBM DataStage for ETL/ELT development. \\+ Strong SQL with proven performance tuning on large datasets. \\+ Ability to perform data mapping, cleansing, deduplication, and validation. \\+ Working understanding of data governance, quality checks, lineage, and compliance. \\+ Experience optimizing ETL jobs and troubleshooting data load issues. \\+ Python (preferred). \\+ Salesforce (preferred). \\+ Snowflake (preferred). \\\\Education Requirements:\\\\ \\+ Bachelors degree in Computer Science, Information Systems, or equivalent practical experience. \\\\\Recruitment Transparency Notice\\\\\ \\\\\Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (\\\\\ \\\\\\\\\\\ \\\\\\ 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Groups use of these tools, including AI tools, as part of the application and hiring process.\\\\\* \Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.\\ \W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.\\ \Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact\\\\\ \\\\_ \About Eliassen Group:\\ \Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.\\ \Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.\\ \Dont miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!\\

The role requires hands-on experience with IBM DataStage for ETL/ELT development and strong SQL skills with proven performance tuning on large datasets. Candidates must be able to perform data mapping, cleansing, deduplication, and validation. A working understanding of data governance, quality checks, lineage, and compliance is necessary. Experience optimizing ETL jobs and troubleshooting data load issues is also required. Python and Salesforce experience are preferred. A Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience is required.