\\\\Informatica Developer with Python, Contract to hire/Hybrid NYC.\\\\ \\\\New York, NY\\\\ \\\\Type:\\\\ Contract-to-Hire \\\\Category:\\\\ Engineer \\\\Industry:\\\\ Financial Services \\\\Reference ID:\\\\ JN -122025-104743 \\\\Date Posted:\\\\ 12/14/2025 \\\\Shortcut:\\\\ \\+ Description \\+ Recommended Jobs \\\\Description:\\\\ \\\\\\\\Hybrid role \\\| 2 days a week onsite in New York City\\\\\\\\ Interview type, virtual then onsite (no travel or relocation expenses will be provided. We are seeking a Senior Informatica Developer to join the \\\\HR Technology team\\\\ within the Chief Data Office. 6-8 years of experience will suffice, not looking for an architect but do need to have recent Informatica experience. \We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.\\ \Pay: $70 - $75/hr W2\\ \\\\Responsibilities:\\\\ This role will focus on developing, maintaining, and modernizing enterprise data pipelines that support the \\\\HR Analytics ecosystem\\\\ . The ideal candidate has strong hands-on experience with \\\\Informatica, Python, and SQL\\\\ , and is comfortable working in a fast-paced, hybrid environment \\\\Experience Requirements:\\\\ \\\\Required Skills & Experience\\\\ \\+ \\\\68 years\\\\ of hands-on experience in \\\\Data Engineering / Data & Analytics\\\\ \\+ 4+ years of recent experience with \\\\Informatica.\\\\ \\+ Strong proficiency in \\\\Python\\\\ for data processing and transformation \\+ Advanced \\\\SQL\\\\ skills (data validation, optimization, complex transformations) \\+ Experience with \\\\data warehouse / data lake design\\\\ and data modeling \\+ Hands-on experience working with \\\\large, complex datasets\\\\ \\+ Strong understanding of \\\\ETL/ELT frameworks\\\\ and enterprise data pipelines \\+ Ability to work independently and \\\\hit the ground running\\\\ \\+ Strong fundamentals candidates must demonstrate real hands-on expertise (no resume-only experience) \\+ Excellent verbal and written communications skills. \\\\Nice-to-Have / Secondary Skills\\\\ \\+ Experience migrating from \\\\Informatica to modern data stacks\\\\ \\+ Exposure to \\\\AI/ML technologies\\\\ , including model tuning or LLM integrations \\+ Experience conducting \\\\Exploratory Data Analysis (EDA)\\\\ \\+ Experience with \\\\HR data models\\\\ or People Analytics \\+ Cloud experience ( \\\\AWS, Azure, or similar\\\\ ) \\+ Experience with \\\\Snowflake\\\\ or other cloud data platforms \\+ CI/CD experience (GitLab, Jenkins) \\+ Familiarity with collaboration tools (JIRA, Confluence, SharePoint) \\\\Education Requirements:\\\\ \\\\Education\\\\ \\+ Bachelors degree in Computer Science, Engineering, or related field preferred \\\\\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 6-8 years of hands-on experience in Data Engineering or Data & Analytics, with at least 4 years of recent experience specifically with Informatica. Strong proficiency in Python for data processing and transformation, along with advanced SQL skills for data validation, optimization, and complex transformations, is essential. Candidates must have experience with data warehouse/data lake design, data modeling, and working with large, complex datasets. A strong understanding of ETL/ELT frameworks and enterprise data pipelines is also necessary. The position prefers a Bachelor's degree in Computer Science, Engineering, or a related field.