
2 - 10 employees
Founded 2020
🏦 Banking
💳 Fintech
💼 Consulting
Banking • Fintech • Consulting
Grow2FIT is a platform engineering and consulting firm that designs, builds, and operates resilient infrastructure for regulated financial services — primarily banks, fintechs and payment providers. They offer end-to-end services (assess, implement, operate, train) focused on resilience, disaster recovery, monitoring & observability, Kubernetes and container platforms, DevOps/GitOps, infrastructure automation/IaC, storage, and security & compliance (DORA, NIS2, PCI-DSS, SEPA, MICA). The team is senior-led, vendor-neutral, and runs managed operations under SLA for clients across the U. S. and Europe, with case studies in banking and payments.
🔥 2 minutes ago
Where this job comes from
Posted on Grow2FIT's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

2 - 10 employees
Founded 2020
🏦 Banking
💳 Fintech
💼 Consulting
Banking • Fintech • Consulting
Grow2FIT is a platform engineering and consulting firm that designs, builds, and operates resilient infrastructure for regulated financial services — primarily banks, fintechs and payment providers. They offer end-to-end services (assess, implement, operate, train) focused on resilience, disaster recovery, monitoring & observability, Kubernetes and container platforms, DevOps/GitOps, infrastructure automation/IaC, storage, and security & compliance (DORA, NIS2, PCI-DSS, SEPA, MICA). The team is senior-led, vendor-neutral, and runs managed operations under SLA for clients across the U. S. and Europe, with case studies in banking and payments.
• Shape the enterprise data warehouse of an international bank • Create data architecture designs for enterprise data warehouse delivery • Analyze source data, data flows and downstream consumption, including Teradata SQL investigation • Develop design options with clear recommendations, supported by High Level Designs and Architecture Design Decisions • Present architecture proposals to architecture boards and governance forums • Embed lineage, controls, reconciliation, auditability and regulatory compliance by design • Support engineering and testing teams through build, testing and go-live • Perform detailed data analysis, SQL investigation and solution validation
• 5+ years as a Data Architect, or as a senior Data Engineering Lead with real architecture ownership • Strong hands-on Teradata in an on-premises enterprise data warehouse (SQL, data investigation, issue analysis) • Teradata Financial Services Data Model or an equivalent financial services data model • Banking or regulatory data experience, including BCBS239 / RDARR, regulatory reporting and data traceability • ETL delivery with Informatica and/or DataStage; metadata-driven ingestion or control frameworks • Control-M or a comparable batch scheduler • English at C1 level (B2 minimum) • Teradata GCFR or Cloudera experience is an advantage
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🔥 36 minutes ago
Senior Data Engineer building scalable Azure data pipelines for Health-E Commerce. Designing Synapse models, Spark processing, and Python ETL infrastructure.
🔥 37 minutes ago
Senior Data Platform Engineering Manager leading teams and delivery for Cohere Health’s AI-powered clinical intelligence platform. Building scalable, reliable healthcare data infrastructure and lakehouse capabilities.
🇺🇸 United States – Remote
💵 $175k - $195k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
🔥 2 hours ago
Senior Data Engineer building cloud data pipelines and Core Data Domain models for CVS Health’s healthcare analytics. Supporting reporting, machine learning, governance, and data science workloads.
🔥 4 hours ago
Data Engineer building ETL pipelines, warehouses, and quality frameworks for Base Operations’ global security-intelligence dataset. Integrating ML enrichment and improving data-platform architecture.
🔥 4 hours ago
Senior Data Engineer building cloud ETL pipelines, data models, and governance frameworks for CVS Health’s healthcare analytics. Supporting reporting, machine learning, and data science workloads.