PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Node.js, Python, Elasticsearch, Redis
1w
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Data Engineer
Homewood, Alabama, United States
OnsiteFull Time
3+ YOEBachelor's in CS/related, 3+ years data engineering experience with healthcare data, EMR integration, SQL and cloud familiarity, strong data governance and HIPAA awareness.
EMR, SQL, SQL Server, PostgreSQL, Oracle, Azure, AWS, GCP, Power BI, Tableau, HL7, FHIR, CPT, ICD-10
3mo
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Data Engineer IV
Birmingham, Alabama, United States
HybridFull Time
8+ YOEDesign, build, and optimize data pipelines; ensure data quality; collaborate with data scientists; 8+ years experience; cloud data engineering; SQL; Python; AI/ML.
Google Cloud Platform, AWS, Azure, SQL, Python, AI/ML
3w
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Data Engineer, Finance
Birmingham, Alabama, United States
OnsiteFull Time
5+ YOEBachelor's degree required, 5+ years data engineering experience, strong SQL, Python/PySpark, Databricks, cloud platforms, ETL, BI tooling (Microsoft Power BI, Qlik), and finance/ERP domain knowledge.
SQL, Python, PySpark, Databricks, Snowflake, Microsoft Azure, AWS, Google Cloud, SAP, Oracle, Workday, Microsoft Power BI, Qlik
6d
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Software Engineering Manager - Data & Automation
Strongsville or Pittsburgh or Denver or Birmingham or Farmers Branch
$100k-$204k/yr OnsiteFull Time
5+ YOE3+ MgmtLead ~15 engineers, deliver enterprise data and automation initiatives; 5+ years industry experience and ~3+ years management; bachelor’s degree typical; strong data engineering, ETL, and delivery skills.
Informatica, Teradata, Linux, Mainframe, Hadoop, Apache Spark, AWS, Azure, GCP, Teradata SQL