{"id":3290584,"url":"https://alion.io/job/forbes-data-engineer-l2","title":"Data Engineer - L2","company":{"id":8272,"name":"Forbes","domain":"forbes.com","url":"https://alion.io/company/forbes-advisor","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":14,"ghost_share":0.143,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-10-07T16:44:39Z","employer_posted_date":null,"last_verified_at":"2026-10-07T16:44:39Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions.We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most.\nWe are looking for a Data Engineer (L2) with solid experience in Python and data ingestion pipelines, and exposure to digital marketing data, particularly the Meta Ads ecosystem.\nIn this role, you will contribute to building and maintaining data pipelines that power marketing analytics, campaign reporting, and lead analysis. You will work closely with senior engineers and business teams to support data needs across performance marketing and growth. This role does not involve campaign execution (buying/bidding), but requires a working understanding of ad platforms, marketing metrics, and lead funnels.\nResponsibilities\nData Engineering & Pipelines\nBuild and maintain data ingestion pipelines from APIs and other data sources\n\nWrite efficient Python and SQL for data transformation and processing\n\nSupport ETL/ELT workflows, microservices and ensure timely data availability\n\nTroubleshoot pipeline failures and assist in performance improvements\n\nMarketing Data Support\n\nAssist in ingestion and modeling of data from Meta Ads and similar platforms\n\nHelp create datasets for:\n\noCampaign performance reportingoLead funnel tracking\nDevelop familiarity with:\n\noCampaign structure (campaign/ad set/ad level)\noBasic performance metrics (CTR, CPC, CPA)\noConversion tracking conceptsBusiness Collaboration\n\nWork with marketing and analytics teams to understand data requirements\n\nSupport analysis related to lead quality and campaign performance\n\nHelp translate business needs into data queries and datasets\n\nData Quality & Maintenance\n·Implement basic data validation checks\nMonitor pipelines and resolve data issues\n\nMaintain documentation for pipelines and datasets\n\n·Required Skills & Qualifications·Core Technical Skills\nProficiency in Python (data processing, API handling)\n\n·Strong SQL skills\nExperience with data ingestion from APIs (basic handling of pagination, retries)\n\nFamiliarity with workflow orchestration tools (e.g., Airflow or similar)\n\nExposure to cloud data warehouses (BigQuery, etc.)\n\nAd Platform Exposure\n\nBasic understanding of Meta Ads platform concepts\n\n·Familiarity with:\nMarketing metrics (CTR, CPC, conversions)\n\n·Lead generation and funnel basics\nWillingness to learn deeper AdTech concepts\n\nSoft Skills\n\nGood problem-solving and debugging skills\n\nAbility to work in a collaborative, cross-functional environment\n\nClear communication of technical work and issues\n\nGood to Have\n\nExposure to other marketing platforms (Google Ads, etc.)\n\nExperience with tools like dbt or similar transformation frameworks\n\nUnderstanding of event tracking (GA4, etc.)\n\nWhat Success Looks Like\n\nReliable execution of data pipelines with minimal supervision\n\nAccurate and timely delivery of marketing datasets\n\nGrowing understanding of marketing data and business use cases\n\nEffective collaboration with senior engineers and stakeholders\n\nPerks:\n\nDay off on the 3rd Friday of every month (one long weekend each month)\n\nMonthly Wellness Reimbursement Program to promote health well-being\n\nMonthly Office Commutation Reimbursement Program\n\n●Paid paternity and maternity leavesOriginally posted on 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