Data Engineer at ProducePay

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Governance, Data Quality, Data Warehousing, SQL, Python, AWS, Data Pipelines, Dimensional Modeling, Data Processing, Apache Airflow, Snowflake, PostgreSQL, Infrastructure as Code, Problem Solving, Collaboration

Industry

Food and Beverage Services

Description

At ProducePay, we believe strongly in driving business strategies and decisions with evidence-based data, rather than intuition, opinion, or assumption. As a senior member of our top-notch and fast-paced engineering team, we are looking for a Senior Data Engineer who will design, implement, and optimize ProducePay's vast and diverse data platform (ELT/ETL) and modern data warehouse architecture, ensuring scalability, reliability, and security for mission-critical analytics. This role will own the entire data lifecycle, working closely and collaboratively with other engineers, as well as other functional teams to define requirements, integrate data from a variety of sources, and deploy high-quality data pipelines in support of the analytics needs of ProducePay. As a thought leader and mentor on the engineering team, you will establish best practices for data quality, pipeline development, and platform optimization, while actively guiding junior team members. Responsibilities: Design and implement robust data governance, quality, and observability frameworks to ensure accuracy across all data products. Own the architecture, modeling, and optimization of the data warehouse (e.g., dbt transformations, dimensional modeling) to support business intelligence and data science initiatives. Build, deploy, and monitor high-volume, reliable data pipelines using appropriate workflow orchestration tools (e.g., Apache Airflow, Dagster). Reviewing and analyzing data sets to identify patterns or trends that may have business implications. Assisting and providing feedback for new and existing data models, databases. Providing consultation on data management and integrity issues to other members of the company. Recommending changes to existing databases to improve performance or resolve issues. 5+ years of professional experience in Data Engineering. At least a Bachelor’s Degree in Computer Science, Engineering, or a related quantitative field. Familiar developing ELT pipelines using Python, REST, and SQL in a Linux environment. Passionate about data and the power of data. Willing to step outside of comfort and immediate responsibility zones to drive results and desired outcome. Committed to making data a key focus for overall company strategy, growth, and product development. Deep expertise in advanced SQL and data modeling concepts (e.g., Dimensional Modeling, 3NF). Hands-on production experience with Snowflake and PostgreSQL. Proficiency in Python or Scala, including experience with data processing libraries (e.g., Pandas, Spark). Production experience building and maintaining data services on AWS (e.g., S3, EC2, Lambda, Kinesis/MSK). Excellent communication and presentation skills. Highly organized with good time management skills. Strong attention to detail. Strong understanding of Infrastructure as Code (IaC) principles; experience with Pulumi or Terraform is highly preferred. Exceptional problem-solving ability. Ability to succeed in a collaborative work environment and work cross-functionally. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Wellness Resources

Responsibilities

The Senior Data Engineer will design, implement, and optimize ProducePay's data platform and data warehouse architecture. This role involves owning the entire data lifecycle and collaborating with other teams to deploy high-quality data pipelines.