Data Engineer

Job Title: Data Engineer
Job Locations: Austin, TX; Dallas, TX; Seattle, WA; New York, NY; San Francisco, CA
Job Type: Full-Time
Experience Required: 2–8 Years
Work Mode: Remote / Hybrid / On-site, depending on employer
Estimated Annual Salary: $85,000–$160,000

We are seeking a skilled Data Engineer with 2–8 years of experience to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong programming skills and experience with cloud platforms, ETL/ELT processes, data warehousing, and large-scale data processing.

• Design, develop, and maintain scalable ETL/ELT pipelines.

• Extract, transform, and integrate data from multiple sources.

• Build and optimize data warehouses, data lakes, and data models.

• Develop efficient SQL queries and Python-based data processing scripts.

• Work with AWS, Microsoft Azure, or Google Cloud Platform.

• Implement data validation, quality checks, and pipeline monitoring.

• Collaborate with data scientists, analysts, and software engineering teams.

• Optimize data processing performance, storage, and costs.

• Troubleshoot pipeline failures and ensure data reliability.

• Maintain technical documentation and follow data governance standards.

• Strong proficiency in SQL and Python.

• Experience with ETL/ELT development and data integration.

• Knowledge of relational databases and data modeling.

• Experience with Snowflake, Amazon Redshift, or Google BigQuery.

• Familiarity with Apache Spark, Kafka, or similar technologies.

• Understanding of cloud-based data engineering solutions.

• Experience with Git, testing, and workflow orchestration tools.

• Strong analytical and problem-solving abilities.

ExperienceEstimated Annual Salary2–3 Years$85,000–$105,0003–5 Years$100,000–$130,0005–8 Years$125,000–$160,000

Salary estimates vary by location, employer, industry, and technical expertise.

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field preferred.

• Equivalent professional experience and relevant technical certifications may be considered.

• Experience with AWS Glue, Azure Data Factory, or Google Cloud Dataflow.

• Familiarity with Apache Airflow, Databricks, or Delta Lake.

• Knowledge of Docker, CI/CD pipelines, and automated testing.

• Understanding of data security, privacy, and governance practices.

• Competitive salary and performance-based incentives.

• Health, dental, and vision insurance, where offered.

• Paid time off and company holidays.

• Professional development and certification opportunities.

• Opportunities to work with modern cloud and data technologies.

Interested candidates can submit their updated resume, highlighting relevant data engineering experience, technical skills, certifications, and project work.

Equal Opportunity Statement: We welcome qualified applicants from diverse backgrounds. Candidates must meet the applicable US work authorization requirements for the position.