Data Engineer, Associate Full Time | Hybrid Innovate with Benchmark Digital as a Data Engineer, Associate We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you'll be helping customers throughout the business community empower informed decision‐making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion.

Benchmark

Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross‐functional performance excellence, enhance businesses' sustainability efforts, and help them achieve their ESG goals. With our incredible integral team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport!

Our Benchmark Gensuite Team Member

Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space,



bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Develop and maintain data pipelines using Python and PySpark. Work with SQL databases such as MS SQL Server or PostgreSQL to extract, transform, and load data.

Collaborate with the team to integrate and optimize data workflows. Use GitHub for version control, branching, and collaboration. Assist with cloud‐based data processing on platforms such as AWS, Azure, or GCP.

Perform data quality checks and ensure consistency across datasets. Troubleshoot and debug issues related to data ingestion and transformation. Apply knowledge of AWS Glue transformations and the broader AWS data engineering tech stack.

Experience with orchestration tools such as Airflow or Airbyte is a value addition. Bachelor's degree in Information Systems, Computer Science, or a related field, with coursework in data and database management and computer‐related training.

Proficient

English communication skills (C1 level) Basic knowledge of Python andPySpark for data processing. Familiarity with SQL and experience working with MS SQL Server or PostgreSQL. Understanding of GitHub for version control and collaboration.

Exposure to a cloud platform (AWS, Azure, or GCP) is a plus. Ability to complete projects in a timely manner. 0–2 years of relevant experience in data and database management is highly desired. Exposure to AI concepts and tools, with an interest in applying AI to data‐related tasks.

📌 [Mx] Data Engineer, Associate (Aguascalientes)
🏢 Benchmark Gensuite
📍 Aguascalientes