Data Engineering Consultant

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FormativGroup

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

FormativGroup is a B2B technology consulting and implementation firm that helps mid-market and enterprise clients modernize applications, workflows, and data infrastructure. They specialize in data architecture, system integration, application development, workflow automation, SaaS/PaaS ecosystem management, and AI roadmapping to enable governance, migrations, and interoperability across complex environments. FormativGroup serves regulated and enterprise sectors such as insurance, banking, mortgage & lending, wealth management, healthcare, and the public sector, focusing on outcome-based designs and continuous improvement.

📋 Description

• Support client engagements as a contributing project team member • Assist in gathering and understanding business and technical requirements • Translate requirements into technical tasks under guidance from senior team members • Support preparation of presentations, documentation, and deliverables • Develop and support data solutions leveraging: • Snowflake (data warehousing, data storage) • Databricks (data processing, Spark workloads) • AWS ecosystem (S3, Glue, Redshift, Lambda, EMR, IAM) • Microsoft Fabric / Azure (Synapse, ADF) • DataVault Data Automation • Build and maintain data pipelines (primarily batch, with exposure to near real-time) • ETL/ELT development and data integration processes • Contribute to development of data platforms including data lakes and data warehouses • Follow established best practices for coding, testing, and performance optimization • Support senior team members in troubleshooting and resolving data issues • Participate in code reviews, testing, and quality assurance activities • Manage assigned tasks and deliver them within project timelines with minimal oversight • Assist with analytics and reporting by preparing curated datasets • Support advanced analytics initiatives such as machine learning data preparation • Stay current with tools, technologies, and best practices through continuous learning • Support data governance, data quality, and documentation efforts • Follow data security and compliance standards • Contribute to maintaining metadata, lineage, and technical documentation

🎯 Requirements

• Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or related field • 3-5 years of experience in data engineering, analytics, or related technical roles • Foundational experience with: • SQL and basic data modeling concepts • ETL/ELT processes and data integration • Exposure to cloud platforms such as AWS, Azure, or GCP • Familiarity with tools such as Snowflake, Databricks, or similar platforms is a plus • Exposure to programming languages such as Python or Scala is preferred • Basic understanding of modern data architecture concepts (data lakes, warehouses) • Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus • Strong analytical and problem-solving skills.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options