Senior Data Engineer - Contract - Columbia, SC
About The Position
The Senior Data Engineer / Data Solutions Architect will join the Data Operations Hub Team to design, develop, and implement analytical data solutions aligned with the agency's strategic goals. This hands-on technical role combines data architecture, system design, application development, and operational support. The consultant will work on data architecture, modeling, migration, and integration, and collaborate with cross-functional teams to develop scalable solutions, support target-state architecture goals, evaluate emerging technologies, and deliver production-ready data engineering solutions. The position is remote and is a 12-month contract. Candidates must currently reside in South Carolina; relocation is not allowed. The interview process includes a first-round virtual interview followed by a second-round onsite interview.
Requirements
- At least 4 years of experience as a Data Engineer or in a similar role, leading technical teams and managing complex technical challenges within the assigned domain.
- At least 4 years of hands-on experience in system design, application development, and operational stability.
- At least 4 years of experience in architecture disciplines and programming languages.
- At least 4 years of experience in data architecture, data modeling, data integration, cloud data services, domain-driven data design, and data engineering best practices.
- At least 4 years of practical experience with AWS or Azure services and data engineering disciplines.
- At least 4 years of experience in one or more data engineering disciplines, such as ETL/ELT and event processing.
- At least 4 years of proficiency in SQL, data warehousing solutions, and cloud-native relational databases such as Snowflake, Amazon Athena, or PostgreSQL.
- Bachelor's or Master's degree in Computer Science or a related field.
- Must currently reside in South Carolina; relocation is not allowed.
Nice To Haves
- At least 4 years of experience in business architecture.
- Experience with architecture assessment frameworks.
Responsibilities
- Represent the Data Operations Hub team in forums and provide guidance on data solutions.
- Lead the design and maintenance of scalable data solutions, including data lakes and data warehouses.
- Collaborate with cross-functional teams to ensure data product solutions support business needs and enable data-driven decision-making.
- Evaluate and select data technologies and drive the adoption of emerging technologies.
- Develop architectural models using Sparx or other available data modeling tools.
- Prepare architecture models and supporting artifacts for data initiatives.
- Serve as a subject matter expert in assigned technical areas.
- Work with modern data processing technologies such as Python, Java, and Airflow, particularly in data mesh and data lake environments.
- Contribute to the data engineering community and promote agency data practices.
- Perform hands-on coding and solution design to implement production-ready solutions.
- Optimize system performance by identifying and resolving inefficiencies.
- Design reusable data frameworks using modern technologies.
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What This Job Offers
Career Level
Senior
