Cloud Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, troubleshoot, and document scalable data solutions for both new and existing systems.

• Conduct unit and integration testing to fulfill functional and stakeholder requirements.

• Offer expert technical advice on solution architecture, planning, and cost estimation.

• Lead project initiatives and propel development efforts forward.

• Ensure that requirements, milestones, and deadlines are achieved.

• Collaborate with end-user analysts to define, refine, and enhance data warehouse requirements.

• Work alongside business analysts to validate test plans, test cases, and overall solution quality.

• Identify opportunities to streamline processes, enhance data quality, and reinforce workflow automation.

• Assist CMS in fighting fraud, waste, and abuse within healthcare programs.

⛳️ Requirements

• Bachelor’s degree in a relevant discipline.

• Over 8 years of practical experience in data engineering or related fields.

• Proficient in Python, shell scripting, SQL, and JavaScript.

• Experience in constructing decoupled, scalable data pipelines.

• Strong skills in data warehousing; experience with Snowflake is preferred.

• Hands-on experience with CI/CD across development, testing, and production environments.

• Familiarity with Git-based repositories and AWS deployment pipelines, including Bitbucket, CodeCommit, and GitHub.

• Experience designing and implementing job scheduling and orchestration workflows.

• Understanding of data quality principles, encompassing audit, balance, and control.

• Knowledge of data structures, data types, and built-in database functions.

• Experience in bulk file ingestion and processing.

• Data governance experience, including access controls and role-based security.

• Understanding of AWS IAM roles and their integration with AWS native services.

• Experience with AWS data services and event-driven automation, such as SQS, Lambda, and triggers.

• Familiarity with Atlassian tools like Jira and Confluence.

• Experience working in Agile/Scrum settings.

• Strong communication and collaboration abilities.

• Capability to quickly learn new technologies and eliminate obstacles with minimal guidance.

• Experience with healthcare claims is preferred.

• Experience with AI solutions for detecting data or processing defects is a plus.

• Familiarity with Notebooks like Jupyter and Snowflake is desired.

• Knowledge of partitions and clustering is a plus.

• Experience in data modeling and source-to-target mappings is desired.

• Familiarity with developing serverless architectures and microservices is preferred.

• Knowledge of Kimball and Inmon data warehouse methodologies is a plus.

• Strong skills in Linux and CLI, including bash, AWS CLI, and Snowflake, are desired.

• Experience with ETL tools is preferred.

🏝️ Benefits

• Comprehensive medical plan options, including those with Health Savings Accounts.

• Dental plan options available.

• Vision plan options available.

• 401(k) plan with pre-tax and post-tax contributions, along with company matching.

• Flexible work weeks where feasible.

• Paid time off that includes vacation, sick leave, personal days, holidays, parental leave, military leave, bereavement, and jury duty leave.

• Typically 15 days of paid leave provided per calendar year.

• 10 paid holidays each year.

• Up to 160 hours of paid family leave within a rolling 12-month period for eligible employees.

• Short- and long-term disability benefits.

• Life insurance coverage.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• AI-driven career tool identifying career pathways and learning opportunities.

• Internal mobility support.

• Wellness packages available.

• Recognized culture of innovation.

• Military-friendly workplace environment.