Position: Data Engineer Position Location: Pittsburgh, PA, Strongsville, OH, Birmingham, AL, Dallas, TX, Phoenix, AZ– Hybrid (3 Days a week in office) Duration: 05 Months Contract To Hire Only on W2 Days of the week: M-F Working Hours (Flexible): 8-5 pm, 40 hours Acceptable time zone(s): EST hours OT: Very rarely Job Description: Current initiatives/project(s) that this resource will be impacting: Continuous support of backend functionalities Industry background: Banking/Financial background is required Team dynamic: Technology team - between 5-7 people - Closely collaborating with Finance Teams Roles and Responsibilities: The position will be about 80% hands-on data engineering and 20% innovation. Display an innovative approach to apply modern principles, methodologies, and tools to advance technology solution capabilities. • Collaborates with Product owners, analysts to gather requirements and implement data solutions that meet business needs. • Analyzes and evaluates requirements by working with users, product owners, and management, and provides recommendations on the scope and complexity of the solution. • Writing and optimizing code for data pipelines, ensuring systems are highly efficient, scalable, and capable of handling large-scale financial datasets. • Build and optimize data architectures ensuring high performance, reliability, and security. • Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation. • 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. We are seeking a highly skilled Data Engineer who can demonstrate a strong understanding of ETL, Database architecture and design, provide strategies to build scalable data systems, optimize data pipelines and enable data-driven decision making. Technical Skills: 3+ 1. Strong knowledge of data pipelines and ETL tool -Informatica 1. Intermediate to advanced level SQL, PL/SQL skills 1. Strong understanding of Databases- Microsoft SQL Server, Oracle & Teradata 1. Proficient with code deployment tools such as Udeploy, Artifactory Flex Skills: Experience in at least one of the cloud environments (Azure, AWS, GCP), Experience with big data technologies such as Hadoop, Hive, Spark, etc. Programming experience in Python, Scala. Soft Skills: Excellent problem-solving, communication, and collaboration skills Proactive and detail-oriented professional with a strong sense of ownership Creative problem solver who can tackle complex data challenges A mentor who can guide junior engineers and contribute to team growth Degrees/Certifications: Experience instead of a degree Database certifications (preferred) Informatica certification (preferred) Role Differentiator: Opportunities to learn and grow, Work with enterprise-level systems, Gain a broader understanding of Enterprise Profitability domains, Team dynamics Interview Process: 1. Manager interview - video - Soft skills, High Level Technical (45 min) 1. Team interview - video - Technical Assessment (1 hour) 1. Leadership interview - video - (45 min)