Data Engineer

DuCharme McMillen and Associates, Inc.

$75K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, information systems, engineering, or related field
  • 2 to 5 years' experience in a data engineering role
  • Proficient in SQL with experience in relational and non-relational databases
  • Strong understanding of ELT/ETL processes and Data Warehousing development
  • Analytical skills with the ability to analyze large datasets and write reports

Responsibilities

  • Design, build, and maintain data pipelines and ETL processes
  • Mine data from various sources and restructure it for usability
  • Use statistical tools to analyze trends and patterns in data
  • Collaborate with teams to enhance data efficiency and organization
  • Ensure data integrity and security across systems
  • Integrate structured and unstructured data sources
  • Monitor and troubleshoot data workflows proactively

Benefits

  • Employee stock ownership program from day one
  • Company-paid parental leave
  • Generous time off policy
  • Multiple benefit plans starting from day one
  • Focus on work/life balance and employee wellness
Full Job Description


This is a hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week. This position does not qualify for relocation assistance. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship.

Position Summary

The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is essential for ensuring data is accessible, reliable, and optimized for analysis and decision-making.

Essential Duties and Responsibilities
• Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources.
• Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine
• Use statistical tools to interpret data sets, pay particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
• Collaborate with programmers and engineers to improve efficiency and data organization; improve performance through data structure and query optimization
• Ensure data integrity, quality, and security across all systems and platforms
• Work with departments to provide insight and identify opportunities, improvements, recommend system modifications, and develop policies for data governance
• Integrate structured and unstructured data from internal and external sources.
• Monitor and troubleshoot data workflows, resolving issues proactively
• Design, implement, and maintain critical data systems from ETL/ELT, Data Warehouse, BI Tools, and everything in between
• Maintain documentation for data architecture, processes, and standards
• Collaborate with data scientists, analysts, and product teams to support data needs.
• Analyze requirements from the business and provide solutions or guidance for solutions
• Work with senior data analyst to establish data governance

Non-Essential Duties and Responsibilities
• Perform other duties as assigned

Education and Qualifications
• Bachelor's degree in computer science, information systems, engineering, or related field.
• 2 to 5 years' experience as a data engineering role
• Familiarity with professional programming preferred
• Familiarity with relevant business domains
• Ability to analyze large datasets and write comprehensive reports
• Experience in data models and reporting packages
• Experience working with data and data analytics development, preferably within the Microsoft data platform
• Ability to understand business needs and translate them into technical solutions
• Works effectively with analysts, stakeholders, and IT teams to deliver data solutions that drive business value
• Proficiency in SQL and experience with relational and non-relational databases
• Proficient with ELT/ETL and Data Warehousing development
• Knowledge of relational databases and object-relational mapping concepts
• Commitment to data quality, governance, and compliance
• Understanding of data modeling, normalization, and schema design
• Excellent organizational skills: ability to handle multiple projects
• An analytical mind and inclination for problem-solving
• Strong verbal and written communication skills

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