{"id":3291067,"url":"https://alion.io/job/tech-mahindra-lead-data-engineer-2","title":"Lead Data Engineer","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Juno Beach, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":198000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon Aurora","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"Databricks","optional":true},{"name":"Jira","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-26T19:54:12Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-27T23:22:10Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\n\nSkill Set :\nAWS Data Engineer\n\nTotal Experience :\n8.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n02/10/2026\n\nJob Expiry Date :\n31/10/2026\n\nDomain :\nIT\n\nLocation :\nJUNO BEACH [United States]\n\nJob Reference No :\n4110777\n\nJob Summary\nJob title : Senior Data Engineer\nLocation : Juno Beach , FL (Day one onsite)\nExperience : 8 to 10 Year\nPosition Specific Description\nThe Senior Data Engineer - Forecasting Platforms & Operations will support the development, integration, operational reliability, and continued modernization of data pipelines and applications within the AURA energy forecasting ecosystem.\nThis role combines strong data engineering capabilities with hands-on production application support. The position will focus primarily on building and maintaining scalable ETL/ELT pipelines, data integrations, databases, APIs, and automated data workflows supporting load, wind, and solar forecasting, while also providing secondary operational support for the cloud-based platforms and services responsible for producing and delivering forecasts to business customers.\nThe ideal candidate has a strong data engineering foundation but is also comfortable troubleshooting production applications, following data and application dependencies across systems, supporting cloud-hosted services, and responding to operational issues when necessary.\nThe position is intended to strengthen both the data engineering capacity and operational resiliency of the AURA forecasting team by developing broader technical ownership across the environment.\nKey Responsibilities\nData Engineering & Integration\nDesign, develop, maintain, and optimize ETL/ELT pipelines supporting forecasting, telemetry, weather, market, asset, and operational data.\nDevelop and maintain automated data ingestion and transformation processes across APIs, databases, flat files, SFTP, cloud storage, and external data providers.\nBuild scalable and reusable Python and SQL-based data processing frameworks.\nSupport PostgreSQL and other relational database environments used by forecasting applications and analytical workflows.\nImprove data pipeline monitoring, logging, restart ability, validation, and failure recovery.\nImplement data-quality checks, reconciliation processes, and source-to-target validation.\nSupport onboarding and integration of new wind, solar, storage, and other generation assets into forecasting data pipelines.\nPartner with Data Scientists to ensure reliable, timely, and well-structured data is available for model development, training, production forecasting, and performance analysis.\nSupport modernization and standardization of legacy data workflows and reduce manual or hard-coded processing wherever practical.\nForecasting Platform & Operational Support\nProvide secondary technical support for production load, wind, and solar forecasting applications and associated data-delivery processes.\nTroubleshoot production issues across application, data, database, cloud infrastructure, integration, and delivery layers.\nSupport AWS-hosted forecasting workloads and services such as S3, Lambda, ECS, EC2, CloudWatch, and related cloud resources.\nAssist with application deployments, release validation, configuration changes, operational readiness, and post-deployment monitoring.\nSupport scheduled jobs, automated forecast processes, reporting services, and customer-facing forecast delivery workflows.\nAssist with SFTP services, secure file transfers, SSH keys, directory configurations, and customer data-exchange processes.\nParticipate in incident response, root-cause analysis, change management, service-ticket resolution, and production support.\nMaintain sufficient cross-functional knowledge to provide backup coverage for key forecasting platform responsibilities when the primary platform resource is unavailable.\nReliability, Automation & Documentation\nIdentify recurring manual processes and develop automation to improve reliability and reduce operational effort.\nEstablish effective monitoring and alerting for pipelines, scheduled processes, data feeds, and production forecasting applications.\nDocument system dependencies, troubleshooting procedures, support processes, recovery steps, and operational handoffs.\nParticipate in cross-training and knowledge-sharing activities to ensure critical systems have appropriate primary and backup technical coverage.\nSupport continuous improvement of the team's operational support model and technical resiliency.\nRequired Technical Experience\nStrong experience designing, developing, and supporting enterprise ETL/ELT or data-integration pipelines.\nAdvanced SQL skills and experience with relational databases such as PostgreSQL, Oracle, SQL Server, or similar platforms.\nProficiency with Python for data processing, automation, integration, or application-support activities.\nExperience integrating data from APIs, databases, flat files, cloud storage, SFTP, or other enterprise data sources.\nExperience supporting production data pipelines, scheduled jobs, and troubleshooting failed processing workflows.\nExperience working with AWS or comparable cloud environments.\nStrong understanding of logging, monitoring, troubleshooting, root-cause analysis, and production-support practices.\nExperience with Git-based source control and modern software-development practices.\nPreferred Qualifications\nExperience with AWS services including S3, Lambda, ECS, EC2, CloudWatch, Step Functions, or related services.\nExperience with PostgreSQL/Aurora, Redshift, Databricks, Spark/PySpark, or similar data platforms.\nExperience supporting CI/CD pipelines, application deployments, or cloud-hosted production applications.\nExperience with SFTP administration, secure data exchange, SSH key management, or automated file-transfer processes.\nExperience building data-quality, monitoring, reconciliation, and automated alerting frameworks.\nFamiliarity with energy markets, utility operations, renewable generation, SCADA/telemetry data, weather data, or load/wind/solar forecasting.\nExperience supporting machine-learning or forecasting data pipelines is strongly preferred.\nExperience working in Agile environments using tools such as Jira and Confluence.\nCandidate Profile\nThe successful candidate should be a hands-on engineer who naturally follows problems across system boundaries rather than limiting troubleshooting to a single application or technology.\nThe strongest candidate will be able to move comfortably between:\nsource data ? pipeline ? database ? forecasting application ? cloud service ? delivery ? customer\nand determine where a failure has occurred, how it should be corrected, and how recurrence can be prevented.\nThis role requires someone who can operate independently, document clearly, learn unfamiliar systems quickly, and balance planned engineering work with occasional production-support priorities.\nThe pay range for this role is $110k - $115k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.\nTech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at .”","description_format":"text","description_chars":8057,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Systems Integrators","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-10-26T19:54:12Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/tech-mahindra-lead-data-engineer-2","json_url":"https://alion.io/job/tech-mahindra-lead-data-engineer-2.json","meta":{"generated_at":"2026-10-28T02:29:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3278,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5484},"rest":"https://alion.io/mcp/rest/get_company?id=5484"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftech-mahindra-lead-data-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftech-mahindra-lead-data-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftech-mahindra-lead-data-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tech-mahindra-lead-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftech-mahindra-lead-data-engineer-2"}]}