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About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
- 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.
Skills
- SQL
- Python
- ETL/ELT development
- Data integration
- Relational databases
- Data modeling
- Snowflake
- Amazon Redshift
- Google BigQuery
- Apache Spark
- Kafka
- Cloud-based data engineering
- Git
- Testing
- Workflow orchestration
- AWS Glue
- Azure Data Factory
- Google Cloud Dataflow
- Apache Airflow
- Databricks
- Delta Lake
- Docker
- CI/CD pipelines
- Automated testing
- Data security
- Data privacy
- Data governance
Location
- Austin, TX
- Dallas, TX
- Seattle, WA
- New York, NY
- San Francisco, CA
Work Type
- Full-Time
- Remote
- Hybrid
- On-site
Experience Level
- 2–8 Years
- 2–3 Years
- 3–5 Years
- 5–8 Years
Education Level
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
- Relevant technical certifications
Salary/Compensations
- $85,000–$160,000
- $85,000–$105,000
- $100,000–$130,000
- $125,000–$160,000
Benefits
- 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.
Equal Opportunity
- We welcome qualified applicants from diverse backgrounds.
- Candidates must meet the applicable US work authorization requirements for the position.