Job description

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers and architects to improve data accessibility, platform reliability, and self-service analytics capabilities. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.    Key Responsibilities: • Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes. • Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses. • Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls. • Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability. • Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles. • Participate in platform incident response, troubleshooting, and operational support activities. Required Qualifications: • Minimum of 1 years of experience in data engineering, cloud engineering, or platform operations. • Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions. • Proficiency in Python, SQL, and data engineering concepts. • Experience with Databricks, Apache Spark, PySpark, or similar big data technologies. • Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift. • Knowledge of ETL/ELT development and data pipeline design. • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. • AWS, Databricks, or cloud-related certifications preferred. • Ability to obtain or maintain an Active MBI Clearance. About  Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business   that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role. • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Requirements

Must-haves

Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes.
Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls.
Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability.
Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles.
Participate in platform incident response, troubleshooting, and operational support activities.
Minimum of 1 years of experience in data engineering, cloud engineering, or platform operations.
Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions.
Proficiency in Python, SQL, and data engineering concepts.
Experience with Databricks, Apache Spark, PySpark, or similar big data technologies.
Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift.
Knowledge of ETL/ELT development and data pipeline design.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
Ability to obtain or maintain an Active MBI Clearance.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.
These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Nice-to-haves

AWS, Databricks, or cloud-related certifications preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsaccessibilitysqlci/cdpythonagileai

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

401k