{"id":2743072,"url":"https://alion.io/job/wisecode-remote-software-developer-data-engineer","title":"[Remote] Software Developer & Data Engineer","company":{"id":4442288,"name":"WISEcode","domain":"wisecode.ai","url":"https://alion.io/company/wisecode-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":236000,"period":"year","method":"role_country_seniority_unknown","sample_n":3203},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"DuckDB","optional":false},{"name":"DynamoDB","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"OCR","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true}],"status":"closed","first_seen_at":"2026-10-16T21:12:04Z","employer_posted_date":null,"last_verified_at":"2026-10-17T03:22:00Z","board_verified":false,"closed_at":"2026-10-17T03:22:00Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. WISEcode is building a food data platform that turns fragmented food information into consistent, explainable answers. The Software Developer & Data Engineer will help implement and architect its data lakehouse, build ingestion and enrichment pipelines, resolve product identities, and deliver data to downstream products.\n\nResponsibilities\nLakehouse Architecture & Implementation: Own end-to-end implementation and collaborate on data/platform architecture alongside our data team\nSource Ingestion: Build and establish patterns for a variety of sources including APIs, text from public sources, and external databases\nIdentity & Entity Resolution: Merge the many records we collect for each product, across retailers and dates, into one trustworthy published record. Decide which source wins on each disagreement, and keep every original record so each published value can be traced to its source\nPipeline Consolidation & Enrichment: Consolidate existing food enrichment pipelines down to a single pipeline in collaboration with our engineering team\nDownstream Connectors: Build robust connectors to feed collapsed food data to WISE Intel and the consumer app\nOperational Discipline & Configuration: Maintain strict fail-fast config discipline (magic values in config files; early loud failures for missing settings)\nData Quality & Reporting: Establish ingest capabilities and quality reporting for Data Assembly readiness\nTechnical Documentation: Write plain, short, dated decision records prior to code implementation\n\nSkills\nYou bring 3+ years of experience in a similar role\nNative proficiency in Python and SQL\nDuckDB, DuckLake, S3 Parquet\nPostgres, DynamoDB (state management)\nPrefect, Kubernetes/Fargate job runners; familiarity with dbt, Dagster, or Airflow\nS3, ECS, Lambda, EventBridge, SNS, Terraform, IAM\nLakehouse, analytic/dimension design; Quarto reporting; Medallion architecture (bronze/clean), star schema (food sighting, ingredient, nutrient, provenance)\nGithub actions\n3+ years of experience in a similar role\nProven track record of designing and shipping a lakehouse or data warehouse from scratch, and operating it for at least one year in production\nDemonstrated experience treating data identity and entity resolution as first-class architectural questions\nExperience running batch data pipelines that invoke paid cloud/third-party APIs at scale with strict cost efficiency and budget controls\nExperience pairing daily with other engineers in a fast-paced environment\nExperience making architectural trade-offs between lightweight/embedded query engines (e.g., DuckDB) versus distributed systems (Spark, Databricks, Snowflake)\nFamiliarity with data acquisition methods (e.g., web scraping, OCR API integration)\n\nBenefits\nBonus and meaningful equity\nFully remote\nUnlimited time off and 10 paid holidays\n401(k) with a 4% company match, immediately vested\nComprehensive medical, dental, vision, life, and additional ancillary coverage\n100% coverage for employees, with 80% covered for dependents\n100% employer-paid STD, LTD, Identity Theft, and Life insurance\nFSA and HSA plans available\n$200/mo HSA contributions for Employee plans\n$400/mo HSA contributions for Employee + Dependent plans\n\nCompany Overview\nWISEcode specializes in cutting-edge artificial intelligence and lab testing for precision nutrition data. It was founded in 2021, and is headquartered in Reno, Nevada, USA, with a workforce of 11-50 employees. Its website is https://www.wisecode.ai.\n\nCompany H1B Sponsorship\nWISEcode has a track record of offering H1B sponsorships, with 1 in 2026, 2 in 2024, 1 in 2023. 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