Data Operations Engineer

Our financial services client has an immediate need for a contract-to-hire Data Operations Engineer. 99% remote job but rare visit to irving office may be required so local candidates are preferred

Job Title: Data Operations Engineer

Department: Enterprise Data Management

Office: Remote (preference for DFW area candidates)

Location: Irving, TX

Role Overview:

Our financial services client is seeking a proactive problem solver to join our Enterprise Data Management team as a Data Operations Engineer. This role will support the existing data operations framework that enables the Enterprise Data Management Team to provide reliable access to data for the enterprise. You will be responsible for proactively monitoring existing ETL jobs and cloud pipelines, ensuring SLA s are met, and addressing any production issues as they occur. This includes monitoring process performance, effectively communicating across departments with Analytics, IT, and business teams. You will perform root cause analysis and provide effective error resolutions.

In this role, you will join a team that values and encourages collaboration and peer-to-peer knowledge sharing. We foster a culture where ideas are freely exchanged, and every team member is encouraged to expand their knowledge both technically and within the business context. We celebrate everyone's wins and recognize that each project and business problem we tackle is an opportunity for collective learning. Our guiding principle is to make data easy and accessible for everyone to use, enabling better decision-making across the company.

Responsibilities:

• Support the 24/7 batch cycle using smart on-call tools
• Monitor ETL Job and cloud pipeline schedules ensuring SLA s are met
• Troubleshoot issues reported by users and perform root cause analysis for production issues with minimal guidance
• Evaluate job and pipeline performances, reviewing and identifying areas for improvement
• Effectively communicate across teams, bridging technical and business terminology
• Coordinate with data vendors, tracking and following up on data pipeline interruptions
• Maintain Data Operations documentation
• Support data engineering platform tools using technologies such as Microsoft SQL Server, SSMS, SSIS, REST APIs, Azure Cloud Platform, and Microsoft Fabric to move data from various heterogeneous data sources ranging from flat files, Excel, Oracle, SQL Server, XML, XSL files, and JSON files.
• Continuously learn about the business and the data that supports it.
• Adheres to Company policies and procedures, including but not limited to Compliance (UDAAP, BSA/AML, etc.), Information Technology, employee handbook, etc.
• Perform other duties as assigned.

Qualifications:

• We are looking for a candidate with 3+ years of experience in data centric roles, who has attained a degree in Computer Science, Engineering, Mathematics, Information Systems, or related technical discipline.
• Familiar with T-SQL, Stored Procedures, Functions, and SSIS with capability to implement REST APIs. Experienced with cloud data platforms like Microsoft Azure and Microsoft Fabric, ensuring scalable data solutions.
• Working SQL knowledge and experience working with relational databases, query authoring

(SQL) as well as working familiarity with a variety of databases.

• Experience performing root cause analysis on internal and external data and processes
• Strong analytic skills related to working with unstructured and semi-structured datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Knowledge of cloud data and platform security, with a preference for Azure.

Critical Skills:

• Customer Focus: Strong drive to meet data consumer needs and deliver effective solutions.
• Critical Thinking: Ability to analyze data and solve problems to reach well-reasoned solutions.
• Team Mentality: Ability to work effectively within a team to achieve common goals.
• Learning Agility: Openness to learning new technologies and methodologies to maintain a competitive edge.
• Problem Solving: Ability to work effectively to solve problems independently and with others.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.