Untitled role

Senior Consultant, Data Engineer (Databricks Experience) - Infinitive Inc - Career Page Skip To Job Description

Thanks for visiting our Career Page. Please review our open positions and apply to the positions that match your qualifications.

Senior Consultant, Data Engineer (Databricks Experience)

McLean, VA

Full Time

Mid Level

Share

*Candidates must be local to the Washington D.C. metro area.

About Infinitive

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”

About the Role

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.

Responsibilities

• Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.
• DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
• Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.
• Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.
• Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.
• Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.
• Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.
• Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
• Proven experience as a Data Engineer, preferably in a cloud-based environment.
• Strong proficiency in Databricks for data processing and analytics.
• Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
• In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
• Proficiency in SQL and programming languages such as Python or Scala.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000.00 - $154,00.00.

Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Share Apply

Apply for this position

Required*

First Name*

Last Name*

Email Address*

Phone*

Address*

Resume* We've received your resume. Click here to update it.

Attach resume or Paste resume

Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume

Paste your resume here or Attach resume file

Are you currently legally authorized to work in the US for any employer?* -- No answer --YesNo

Do you now or will you ever require sponsorship from Infinitive to continue to be authorized to work in the US?* -- No answer --YesNo

Are you local to the Washington DC/Metro area?* -- No answer --YesNo

Do you have at least 3 year of experience in data engineering?* -- No answer --YesNo

What is your experience with SQL?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with ETL?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Python?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with PySpark?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Apache Spark?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Amazon Redshift?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Databricks?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with PostgreSQL?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with MongoDB?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Snowflake?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Apache Cassandra?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with the ELK stack (Elastic, Logstash, Kibana)?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

What is your experience with Azure?* -- No answer --No experience/knowledgeSome research/awareness (no hands-on experience)Hands-on experience - Low amount (1 project)Hands-on experience - Medium amount (1yr/multiple projects)Hands-on experience - High amount (multiple years)

Human Check*

Submit Application