Data Engineering Specialist

Bln24, Llc.; Washington (District of Columbia); Remote; USD 80,000 - 130,000; Full time

Job summary

A leading management consulting firm in Washington, DC, is seeking a Data Engineering Specialist. The role involves designing data models for a data lake architecture, collaborating with teams, and ensuring data integrity. The ideal candidate will possess a strong educational background in a relevant field and have proven experience in developing effective data solutions.

Benefits

Generous medical, dental, and vision plans

Flexible working opportunities

Qualifications

• Proven experience in developing data models for data lake architectures.
• Strong understanding of data modeling principles and best practices.

Responsibilities

• Design and develop data models for implementation in a data lake architecture.
• Implement and maintain data pipelines to support data lake architecture.

Skills

Problem-solving

Analytical skills

Collaboration

Education

Bachelors of Science in relevant field of study

Tools

Data modeling tools and technologies

ETL processes and tools

Cloud-based data lake solutions

Big data technologies

Job description

Job Title:Data Engineering Specialist

About Us:We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm thatsupports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.

Job Description:

BLN24 is seeking a highly skilled Data Engineering Specialist with demonstrated experience in developing data models for implementation in a data lake architecture. The ideal candidate will have a proven track record of successfully handling projects of similar size and scope.

Key Responsibilities:

• Design and develop data models for implementation in a data lake architecture.

• Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.

• Ensure data models are optimized for performance and scalability.

• Implement and maintain data pipelines to support data lake architecture.

• Monitor and troubleshoot data pipeline issues to ensure data integrity and availability.

• Provide technical guidance and support to team members and stakeholders.

Qualifications:

• Bachelors of Science in relevant field of study

• Proven experience in developing data models for data lake architectures.

• Strong understanding of data modeling principles and best practices.

• Proficiency in data modeling tools and technologies.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration abilities.

• Ability to manage multiple projects and priorities effectively.

Preferred Skills:

• Experience with cloud-based data lake solutions (e.g., AWS, Azure, Google Cloud).

• Familiarity with big data technologies (e.g., Hadoop, Spark).

• Knowledge of data governance and security best practices.

• Experience with ETL processes and tools.

What BLN24 brings to the Game:
BLN24 benefits are game changing.We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.

• You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.

• Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives.Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.

BLN24 is an Equal Opportunity Employer.We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.