Data Engineer

Experience:

2–7 Years

Locations:

New York, NY | San Francisco, CA | Seattle, WA | Dallas, TX

Salary:

$110,000–$185,000 per year

Employment Type:

Full-Time

About The Role

We are seeking a skilled

Data Engineer

to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will have strong experience with

Python, SQL, Apache Spark

, data processing, ETL/ELT, and cloud technologies.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Build high-performance data processing solutions using Python and Apache Spark.
Write optimized SQL queries for data transformation, analysis, and reporting.
Develop batch and real-time data processing pipelines.
Integrate data from databases, APIs, cloud platforms, and other sources.
Ensure data quality, accuracy, security, reliability, and availability.
Optimize data pipelines and processing jobs for performance and scalability.
Collaborate with data scientists, analysts, software engineers, and business teams.
Monitor, troubleshoot, and resolve data pipeline and production issues.
Participate in code reviews, Agile/Scrum ceremonies, and technical documentation.

Required Qualifications

2–7 years of professional Data Engineering experience.
Strong programming skills in Python.
Advanced knowledge of SQL and relational databases.
Hands-on experience with Apache Spark / PySpark.
Experience developing ETL/ELT pipelines and data workflows.
Understanding of data warehousing, data modeling, and distributed data systems.
Experience with Git and modern software development practices.
Strong analytical, problem-solving, and communication skills.

Preferred Skills

Experience with AWS, Azure, or Google Cloud Platform.
Knowledge of cloud data services such as S3, Redshift, BigQuery, Snowflake, or Databricks.
Experience with Airflow or other workflow orchestration tools.
Knowledge of Kafka or other streaming technologies.
Experience with Docker and Kubernetes.
Familiarity with CI/CD and DevOps practices.
Understanding of data governance, security, and privacy best practices.

Benefits

Competitive salary: $110K–$185K
Medical, dental, and vision insurance
401(k) and retirement benefits
Paid time off and holidays
Professional development opportunities
Hybrid/remote flexibility depending on employer and location
Collaborative and growth-oriented work environment

Equal Opportunity

We are committed to providing equal employment opportunities to all qualified candidates. Employment decisions are based on qualifications, skills, experience, and business requirements.

Skills: sql,spark,python

Data Engineer (US)

Job description