Senior Data Engineer

Position Title: Data Engineer Position Location: Pittsburgh, PA Remote/Onsite: Onsite 5 days a week Acceptable time zone(s): EST Days of the week: M-F Working Hours: 8a-5p OT: Not likely, and only if there is a need. Intended length of Assignment: July 20, 2026, through Sept 25, 2026 Reason for open position: increase in business demand/replacement Contract to Hire W2 only This position is contract with the right to hire if a need becomes available. Managers will only look at candidates that are open to converting to a full-time employee. Client will not sponsor work visas if the decision is made to hire the contingent worker. Function of the Group: Support Costing and Profitability for Line of Business Initiatives/Projects: Costing for Customer Profitability Industry background: Finance or banking-preferred, solid understanding of data-required Team Dynamic: Team of 6-7 Roles and Responsibilities: • Analyzes and evaluates requirements by working with users, product owners and management and provides recommendations on the scope and complexity of the solution. • Collaborate with Finance Product owners and analysts to gather requirements and implement data solutions that meet business needs. • Proactive and detail-oriented professional with strong sense of ownership Creative problem solver who can tackle complex data challenges. • Mentor who can guide junior engineers and contributes to team growth. • Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required. • Acts as a lead by developing and documenting technical specifications for proposed solutions. This includes hands-on coding and testing as well to support solutions. • Participates in code reviews & overall testing. • Excellent problem-solving and collaboration skills Must Have Technical Skills: Years of experience: • Strong experience in data engineering and ETL development • Strong experience with Informatica (PowerCenter and/or Informatica Cloud/IICS) • Advanced SQL, PL/SQL skills and experience with large-scale data transformations • Experience with data warehousing platforms (e.g. SQL Server, Oracle, Teradata) • Writing and optimizing code for data pipelines to ensure systems are highly efficient, scalable, and capable of handling large-scale financial datasets. • Familiarity with Agile/Scrum development environments • Strong collaboration and communication skills for working with finance and business stakeholders Flex Skills/Nice to Have: • Proficient with code deployment tools such as Udeploy, Artifactory Experience with cloud data platforms (Azure, AWS, or GCP) Knowledge of financial and cost data, preferably Activity Based Costing & customer profitability systems. Soft Skills: • Excellent communication skills, with the ability to present insights to both technical and non-technical audiences • Strong ownership mindset and accountability for deliverables end to end • Demonstrated ability to influence stakeholders and recommend data driven solutions • Collaborative team player and raises team moral Education/Certifications: Bachelor's or equivalent experience Role Differentiator: Develop skills and learn more about the profitability space across the organization Interview Process: Two interviews, 1st round 30-45 mins with manager, 2nd round 1-hour deep dive technical interview panel