Data Engineer

Analytica

Databricks Data Engineer developing and maintaining secure data pipelines for a financial regulatory agency. Collaborating with senior engineers to improve data accessibility and platform reliability.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and cloud operations, with a strong focus on SQL-based reporting, data governance, and the implementation of CI/CD pipelines. Proficient in utilizing big data technologies and AWS services to support enterprise data platforms and analytics solutions.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyAWS Cloud ServicesDatabricks ExperienceCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLETL DevelopmentData Pipeline DesignApache SparkPySparkDatabricks SQL WarehousesInfrastructure AutomationData GovernanceCloud Operations

Tools & Technologies

GitHub ActionsTerraformUnity CatalogCloudWatchGlueAthenaRedshift

Certifications & Qualifications

AWS CertificationDatabricks Certification

Industry Keywords

Data Engineering ProcessesEnterprise Data PlatformsAnalytics EnvironmentsData LineageMetadata Management

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSCloudETLPySparkPythonSparkSQLTerraformUnity

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Minimum of 3 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

Benefits

Comp & perks

Competitive compensation with opportunities for bonuses
Employer-paid health care
Training and development funds
401k match