Data Engineer ($90000 - $130000)

We are in search of a talented and detail-oriented Data Engineer to join our growing team. As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various sources to support our business needs. If you have a passion for data, strong problem-solving skills, and experience in building robust and scalable data pipelines, we invite you to apply for this exciting opportunity.

Employment Type


Veteran Status: Not Required

H1B Visa: No

Full Location

Not Specified, Not Specified, United States

Required Skills

Min Education

Job Responsibilities

1. Data Pipeline Development:

- Design, implement, and maintain scalable ETL pipelines for the efficient processing of large volumes of data.

- Collaborate with data scientists and analysts to understand data requirements and ensure the delivery of clean, structured, and usable data.

2. Data Modeling:

- Develop and implement data models for efficient storage, retrieval, and analysis of structured and unstructured data.

- Optimize database performance and ensure data integrity.

3. Data Integration:

- Integrate data from various sources, both internal and external, to provide a unified view for analytics and reporting.

- Ensure data consistency and accuracy across different data sets.

4. Data Warehousing:

- Design and implement data warehouse solutions for efficient storage and retrieval of historical and current data.

- Optimize data warehouse performance and scalability.

5. Data Quality and Governance:

- Implement data quality checks and monitoring to ensure the accuracy and reliability of data.

- Enforce data governance policies and standards.

6. Collaboration:

- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.

7. Documentation:

- Create and maintain comprehensive documentation for data processes, data models, and ETL pipelines.

Minimum Qualification

- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

- Proven experience as a Data Engineer or similar role.

- Strong programming skills, preferably in languages such as Python, Java, or Scala.

- Experience with big data technologies (e.g., Hadoop, Spark).

- Proficient in SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB).

- Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).

- Understanding of data modeling concepts and best practices.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.


- Competitive salary.

- Health and dental insurance.

- 401(k) retirement plan.

- Opportunities for professional development.

- Innovative and collaborative work environment.

Latest posts on Shtudy

We help scrappy startups to massive companies, across all tech and sales roles.