Job Title: Data Engineer
Location: NYC (will be required to work some onsite, flexibility will be provided)
Job Type: Contract and FTE both
Hourly Pay Rate: $70 W2 (negotiable)
Annual Salary: $140 k per annum (negotiable for the right fit)
Department: Data Engineering / Analytics / Technology
About the Role:
We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining data pipelines and workflows using Python, SQL, and Dagster. You ll work closely with analysts, data scientists, and software engineers to ensure high data quality, reliability, and accessibility across the organization.
Key Responsibilities:- Design, develop, and optimize scalable ETL/ELT data pipelines using Dagster.
- Write clean, efficient, and reusable Python code for data processing and automation.
- Develop and maintain robust SQL queries for data extraction, transformation, and loading.
- Monitor and troubleshoot data pipelines to ensure timely and accurate data delivery.
- Collaborate with data analysts, engineers, and stakeholders to define data requirements.
- Implement best practices for data modeling, data versioning, and orchestration.
- Integrate data from multiple internal and external data sources.
- Maintain and improve data quality, documentation, and metadata.
Requirements:- 2+ years of experience in data engineering or a related field.
- Proficient in Python for data processing, scripting, and automation.
- Strong command of SQL and experience working with relational databases.
- Hands-on experience with Dagster (or similar orchestration tools like Airflow or Prefect).
- Experience with cloud data platforms (e.g., AWS, GCP, Azure) and data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Familiarity with version control tools like Git and CI/CD pipelines.
- Understanding of data modeling principles and data architecture best practices.
- Strong problem-solving and communication skills.
Nice to Have:- Experience with other orchestration tools (Airflow, Prefect, Luigi).
- Familiarity with dbt for data transformation and modeling.
- Experience working in Agile or DevOps environments.
- Exposure to containerization (Docker) and infrastructure as code (Terraform, etc.).
What We Offer:- Competitive salary and benefits
- Flexible work environment (remote/hybrid options)
- Opportunity to work with modern data stack and tools
- A collaborative and data-driven culture
- Career growth and learning opportunities
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.