Data Engineer

CO-US DuCharme, McMillen & Associates Inc; Fort Wayne (IN); On-site; USD 60,000 - 80,000; Full time

Job summary

CO-US DuCharme, McMillen & Associates Inc is seeking a Data Analyst in Fort Wayne, Indiana. This hybrid role requires being in the office a minimum of two days per week. The Data Analyst will design and maintain data pipelines, ensuring data is reliable and optimized for decision-making.

The ideal candidate has a Bachelor’s in a relevant field and 2 to 5 years of data engineering experience. This position offers an opportunity to collaborate closely with various departments to enhance data management and governance.

Qualifications

• Bachelor’s degree in computer science, information systems or related field.
• 2 to 5 years’ experience in a data engineering role.
• Experience with SQL and data analytics development.

Responsibilities

• Design, build, and maintain data pipelines and ETL processes.
• Collaborate with programmers to improve data efficiency.
• Analyze requirements and provide data solutions.

Skills

Data analysis

SQL proficiency

ETL/ELT processes

Data integrity

Problem-solving

Education

Bachelor’s degree in computer science or related field

2 to 5 years’ experience in data engineering

Tools

Microsoft data platform

Relational databases

Job description

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.

Job Details

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.

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, paying 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, identify opportunities and 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 in a data engineering role.
• Familiarity with professional programming.
• 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.

Equal Employment Opportunity Statement

The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.

It is DMA’s policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at [e-mail] or 800‑309‑2110 and choosing selection6.