{"id":3775375,"url":"https://alion.io/job/benchmark-gensuite-mx-data-engineer-associate","title":"[MX] Data Engineer, Associate","company":{"id":2064940,"name":"Benchmark Gensuite","domain":"benchmarkgensuite.com","url":"https://alion.io/company/benchmarkgensuite","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":92,"open_postings":18,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Aguascalientes, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-04T23:08:55Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T11:00:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data Engineer, Associate\nFull Time | Hybrid\nAguascalientes, MX\nInnovate with Benchmark Digital as a Data Engineer, Associate\nEveryone 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.\nBenchmark Gensuite Benefits\nAt 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.\nAbout the Role\nResponsibilities\nDevelop and maintain data pipelines using Python and PySpark.\nWork with SQL databases such as MS SQL Server or PostgreSQL to extract, transform, and load\ndata.\nCollaborate with the team to integrate and optimize data workflows.\nUse GitHub for version control, branching, and collaboration.\nAssist with cloud-based data processing on platforms such as AWS, Azure, or GCP.\nPerform data quality checks and ensure consistency across datasets.\nTroubleshoot and debug issues related to data ingestion and transformation.\nApply knowledge of AWS Glue transformations and the broader AWS data engineering tech stack.\nExperience with orchestration tools such as Airflow or Airbyte is a value addition.\nEducation\nBachelor's degree in Information Systems, Computer Science, or a related field, with coursework in data\nand database management and computer-related training.\nQualifications & Experience\nProficient English communication skills (C1 level)\nBasic knowledge of Python and PySpark for data processing.\nFamiliarity with SQL and experience working with MS SQL Server or PostgreSQL.\nUnderstanding of GitHub for version control and collaboration.\nExposure to a cloud platform (AWS, Azure, or GCP) is a plus.\nExcellent written and verbal communication skills.\nStrong analytical and problem-solving skills.\nAbility to complete projects in a timely manner.\n0-2 years of relevant experience in data and database management is highly desired.\nExposure to AI concepts and tools, with an interest in applying AI to data-related tasks.\nImportant 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.\nQuestions about the position? 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