Software Developer (Java) - Consultant (Onsite)

Serigor•Columbia, SC

2d•Onsite

About The Position

As a Software Developer (Java) – Consultant, you will be a key member of the Data Operations Hub Team. You will design, develop, and implement analytical data solutions aligned with the Agency’s strategic goals, applying expertise in data architecture, data modeling, data migrations, and data integration. You will collaborate with cross-functional teams to support target-state architecture goals and deliver production data solutions.

Requirements

At least 4 years of experience as a Data Engineer or in a similar role leading technologists to manage, anticipate, and solve complex technical items within an area of expertise.
At least 4 years of hands-on experience in system design, application development, and operational stability.
At least 4 years of expertise in architecture disciplines and programming languages.
At least 4 years of deep knowledge of data architecture, modeling, integration, cloud data services, domain-driven design, best practices, and data engineering trends.
At least 4 years of practical experience with AWS or Azure services and data engineering disciplines.
At least 4 years of advanced experience in one or more data engineering disciplines, such as ETL/ELT or event processing.
At least 4 years of proficiency in SQL, data warehousing solutions, and cloud-native relational databases such as Snowflake, Athena, or Postgres.
Strong problem-solving, communication, and interpersonal skills.
Ability to evaluate and recommend technologies for future-state architecture.
Bachelor’s or master’s degree in Computer Science or a related field.

Nice To Haves

At least 4 years of business architecture knowledge and experience with architecture assessment frameworks.

Responsibilities

Represent the Data Operations Hub team in forums and advise on data solutions.
Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
Collaborate with cross-functional teams to ensure data product solutions support business needs and data-driven decision-making.
Evaluate and select data technologies and drive adoption of emerging technologies.
Develop architectural models using Sparkx or another available data modeling tool, along with other artifacts supporting data initiatives.
Serve as a subject matter expert in specific areas.
Work with modern data-processing technologies such as Python, Java, and Airflow in data mesh and data lake contexts.
Contribute to the data engineering community and advocate for agency data practices.
Perform hands-on coding and design to implement production solutions.
Optimize system performance by resolving inefficiencies.
Design reusable data frameworks using new technologies.