[MX] Data Engineer, Associate

Posted 5 Days Ago
Be an Early Applicant
Aguascalientes, MEX
Hybrid
Junior
Artificial Intelligence • Software • Industrial • Manufacturing
The Role
Develop and maintain data pipelines using Python and PySpark; extract, transform, and load data with SQL databases; optimize workflows; perform data quality checks; troubleshoot ingestion and transformation issues; use GitHub for collaboration; and support cloud-based processing with AWS Glue and related platforms.
Summary Generated by Built In

Data Engineer, Associate

Full Time | Hybrid 

Aguascalientes, MX  

Innovate with Benchmark Digital as a Data Engineer, Associate

Everyone wants to make the world a better place. 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. Join us and help make the corporate world better for the planet and better for its employees. 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 global 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. 

Benchmark Gensuite Benefits 

At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly give excellent performers their due. 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. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers. 


About the Role 


Responsibilities 

  • 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. 

 

Education 

Bachelor's degree in Information Systems, Computer Science, or a related field, with coursework in data 

and database management and computer-related training. 

 

Qualifications & Experience 

  • Proficient English communication skills (C1 level)
  • Basic knowledge of Python and PySpark 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. 
  • Excellent written and verbal communication skills. 
  • Strong analytical and problem-solving skills. 
  • 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.

Important Notice: Benchmark Gensuite only accepts applications submitted directly through our official channels. We do not work with third-party services that submit applications on candidates’ behalf. If clicking “Apply” takes you to another website different from our career page, it could be an unauthorized posting or an attempt at fraud. Benchmark Gensuite is not responsible for the handling of personal data or information shared on websites outside our official channels.

Questions about the position? Please contact our HR Mexico Team at [email protected].

#LI-Hybrid


Skills Required

  • Bachelor’s degree in Information Systems, Computer Science, or a related field
  • Coursework in data and database management and computer-related training
  • C1-level English communication skills
  • Basic knowledge of Python and PySpark for data processing
  • Familiarity with SQL and experience with MS SQL Server or PostgreSQL
  • Understanding of GitHub for version control and collaboration
  • Exposure to a cloud platform such as AWS, Azure, or GCP
  • Excellent written and verbal communication skills
  • Strong analytical and problem-solving skills
  • Ability to complete projects in a timely manner
  • 0–2 years of relevant experience in data and database management
  • Exposure to AI concepts and tools, with interest in applying AI to data-related tasks
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The Company
HQ: Mason, OH
663 Employees
Year Founded: 2008

What We Do

Benchmark Gensuite delivers AI-forward EHS, Sustainability, Quality, and Operational Risk software that helps global enterprises manage risk, ensure compliance, and drive safer, more sustainable operations. Built on a single-version cloud platform, it enables organizations to digitize and connect EHS, sustainability, quality, product stewardship, and supply chain risk programs across complex global operations using best-practice workflows and generative AI capabilities.

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