{"id":4030389,"url":"https://alion.io/job/weekday-data-engineer-8","title":"Data Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":105,"ghost_share":0,"stale_share":0.981,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","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":"DeepEval","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false}],"status":"live","first_seen_at":"2026-11-10T18:27:26Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T18:27:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"'\n: - ( - )\nExperience: 3+ yrs\nLocation: Remote\nAs a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics platforms that drive business insights and product innovations. Leveraging your expertise in Python and SQL, you will transform raw data into clean, structured datasets, enabling data scientists and product teams to accelerate experimentation. You will integrate Posthog for behavioral analytics, employ deepeval for model validation workflows, and use Streamlit and LangChain to create interactive data tools and prompt-based applications. Your role will ensure data quality, performance, and compliance across the organization while collaborating closely with cross-functional stakeholders to translate data needs into technical solutions.\nRequirements\nDesign and implement robust ETL pipelines that ingest, transform, and store data from diverse sources into a unified data warehouse.\nBuild and maintain dashboards and data visualizations using Streamlit to provide real-time insights for product, marketing, and engineering teams.\nIntegrate Posthog event data into the analytics pipeline and create segmented user funnels for product optimization.\nDevelop and maintain LangChain workflows to power conversational AI features that interact with structured data.\nEmploy deepeval to automate evaluation of machine learning models, ensuring model performance aligns with business KPIs.\nOptimize SQL queries and database schemas for speed, reliability, and scalability across large datasets.\nCollaborate with data scientists to provision and manage queryable data lakes and data marts.\nImplement data governance, security, and privacy controls to comply with industry regulations.\nMonitor pipeline health, troubleshoot failures, and iterate on performance enhancements.\nDocument data architecture, pipeline logic, and best practices for internal and external stakeholders.\n3+ years of professional experience building data pipelines and analytics platforms in a production environment.\nStrong programming skills in Python, with extensive experience in writing reusable, testable code.\nDeep knowledge of SQL and experience with modern database systems such as PostgreSQL, BigQuery, or Snowflake.\nProven track record of integrating Posthog for behavioral data ingestion and analysis.\nHands-on experience with deepeval or similar model evaluation frameworks.\nFamiliarity with LangChain for building LLM-driven data workflows and prompt engineering.\nSolid understanding of Streamlit or comparable open-source toolkits for building interactive dashboards.\nAbility to collaborate effectively with cross-functional teams in a remote, agile environment.\nStrong problem-solving mindset, with the capacity to troubleshoot complex data issues under tight deadlines.\nCommitment to code quality, documentation, and continuous learning in the fast-moving data engineering landscape.","description_format":"text","description_chars":2910,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-10T18:27:26Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely 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