Data Service Engineer (Multi-Platform - ETL/SQL/Reporting) - 100% REMOTE

Conexess Group; Birmingham (AL); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Services Engineer to design, develop, and maintain enterprise-class data services. The role requires strong expertise in reporting, ETL processes, and analytics across multi-platform environments, primarily in the Payments, Banking, and Finance domains. Candidates with 6+ years of data engineering experience and proficiency in SQL are encouraged to apply.

Qualifications

• 6+ years of experience in data engineering.
• Strong skills in reporting and analytics toolsets.
• Proficiency in SQL and relational database systems.

Responsibilities

• Collaborate with architects to deliver data services.
• Design and implement reporting and analytics dashboards.
• Develop and maintain ETL processes ensuring data integrity.

Skills

Reporting

ETL processes

Analytics

Data integrity

Performance analysis

Tools

SQL Server

Azure SQL Server

Power BI

Mainframe DB2

Azure DevOps

Git

Job description

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We are seeking a seasoned Data Services Engineer with expertise in multi-platform data environments to design, develop, and maintain enterprise-class data services. The ideal candidate will have strong experience in reporting, ETL processes, and analytics, with a deep understanding of both mainframe and distributed systems. This role requires collaboration with architects, developers, and stakeholders to deliver high-quality data solutions primarily in the Payments, Banking, and Finance domains.

Essential Functions:

• Collaborate closely with data and solution architects to deliver enterprise-class data services.
• Design, develop, and implement custom reporting and analytics dashboards.
• Develop, test, maintain, and support ETL processes ensuring data integrity and performance.
• Design, draft, develop, and test reporting workflows and reports.
• Document and maintain data sourcing workflows, including data mapping and data dictionary management.
• Define data matrices, data dictionaries, and data structures across multiple platforms such as SQL Server and Azure SQL Server Managed Instance.
• Lead technical design, prototyping, data development, support, and problem remediation efforts.
• Apply knowledge of data design patterns and enterprise architecture in the Payments Industry (banking, credit unions, bill pay, EFT, etc.).
• Analyze and optimize performance at the Data Access Layer (DAL) for high-volume environments.
• Provide accurate estimates for tasks, team efforts, budgets, and overall level of effort (LOE) for data-related projects.
• Create comprehensive technical documentation using flowcharts, class diagrams, sequence diagrams, activity diagrams, data flow diagrams, database schemas, wireframes, and component descriptions.
  
  

Minimum Qualifications:

• 6+ years of experience in data engineering.
• 6+ years of experience with reporting and analytics toolsets.
• 6+ years of software engineering experience or equivalent knowledge.
• 6+ years of proficiency in SQL and relational database systems.
• Strong understanding of various data sets, file formats (e.g., VSAM, flat files), and data types (EBCDIC, ASCII) including data transformation techniques.
  
  

Preferred Qualifications:

• 6+ years of experience managing mainframe and distributed data management and reporting platforms.
• 2+ years working with Snowflake and Data Lake methodologies.
• Expertise in report authoring, ETL, and reporting workflows/documentation, preferably on mainframe and distributed platforms.
• Experience in Banking, Finance, EFT, and/or Payment Card domains.
• Exposure to supporting programmers using languages such as C# and COBOL.
• Skilled in utilizing visualization and workflow tools to design and communicate data management requirements.
• Strong technical communication skills.
• Knowledge of ISO-8583 messaging standard highly preferred.
• Experience in data modeling and development of data warehouses and data marts.
• Familiarity with SQL Server columnstore indexes and always encrypted columns.
• Experience with SQL Report Server, Power BI, and/or Mainframe DB2.
• Knowledge of Azure DevOps and Git source control.
• Familiarity with DevOps, Agile, and Test-Driven Development methodologies.
• Understanding of PCI DSS compliance, data handling standards, and Personally Identifiable Information (PII) management.
• Proven ability to collaborate effectively with stakeholders, business analysts, project managers, solution architects, and DBAs.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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