Data Engineer

Job Summary

We are seeking a skilled, business-minded Data Engineer to design, build, and maintain robust data pipelines and platforms that power analytics, machine learning, and operational reporting across the organization. You will work closely with data scientists, analysts, and engineering teams to ensure high-quality, scalable, and reliable data solutions that drive strategic decision-making.

Key Responsibilities

Architect, develop, and optimize batch and real-time data pipelines using modern ETL / ELT tools and cloud services (e.g., AWS, Azure, or GCP).

Model and maintain data warehouses / lakes with best-practice dimensional or data-vault techniques.

Implement data quality, lineage, and observability solutions to uphold data integrity and reliability.

Collaborate with cross-functional partners to translate business requirements into technical specifications.

Automate ingestion, transformation, and deployment processes using CI / CD, infrastructure-as-code, and containerization (e.g., Docker, Terraform, Kubernetes).

Monitor, troubleshoot, and tune data workflows for performance, cost efficiency, and scalability.

Champion data governance, security, and compliance policies (including HIPAA, SOC 2, or similar, as applicable).

Mentor junior engineers and contribute to engineering standards, documentation, and best practices.

Required Skills & Competencies

Proficiency in Python, SQL, and at least one compiled or JVM language (e.g., Java, Scala, Go).

Hands-on expertise with distributed processing frameworks (e.g., Spark, Flink, Beam) and orchestration tools (e.g., Airflow, Prefect, Dagster).

Deep knowledge of relational and NoSQL databases (e.g., Postgres, Snowflake, BigQuery, Redshift, DynamoDB).

Experience designing, deploying, and operating data platforms in a cloud environment (AWS, Azure, or GCP).

Familiarity with DevOps practices : Git, CI / CD pipelines, infrastructure-as-code.

Strong problem-solving, communication, documentation, and stakeholder-management skills.

Education & Experience

Bachelors degree (or higher) in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field, or equivalent practical experience.

3+ years of professional experience in data engineering, software engineering, or a closely related discipline building production-grade data systems.

Annual Pay

Base salary range : USD $120,000 to $160,000, commensurate with location, skills, and experience.

Compensation & Benefits

Medical, dental, and vision insurance (company-subsidized).

401(k) plan with company match.

Equity / stock options program.

Generous paid time off (vacation, sick leave, and 12+ paid holidays).

Paid parental leave and family-care support.

Flexible work arrangements : remote or hybrid within the United States, with company-sponsored coworking stipends.

Learning & development budget, industry conference access, and internal mentorship programs.

Employee wellness initiatives (mental-health coverage, fitness reimbursement, and employee resource groups).

Work Authorization & Location Requirement

This position is open only to candidates currently authorized to work in the United States and residing within U.S. time zones. Visa sponsorship is not available at this time.

Equal Employment Opportunity

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected status.