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Data Factory Engineer Jobs

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Today

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

Today

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

Suncoast Credit Union is seeking a Senior Data Engineer to design, evaluate, and test data infrastructure that enables reliable ingestion, processing, and extraction of insights. This role emphasizes ETL pipelines, data modeling and governance, analytics, and natural language processing, with close collaboration across business teams.

Responsibilities

Build systems and infrastructure to collect and process data aligned to company needs and goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction use cases.
Use existing data infrastructure to support data requests, including data housekeeping, cleansing, normalization, hashing, and implementing required data model changes.
Analyze datasets to identify anomalies, trends, and correlations across similar data.
Design, develop, and implement natural language processing software modules.
Troubleshoot data and system problems, identify possible solutions, and resolve issues accordingly.
Partner with business counterparts to define requirements for data to be provisioned, updating defined requirement document templates in collaboration with business stakeholders.
Work with the manager to translate business requirements into appropriate schema and data models.
Ensure design efficiency to minimize data refresh lags and support timely reporting across systems.
Deploy data architectures using standards set by the manager to implement Suncoast’s data strategy and transform business strategies into information architectures.
Follow measurable processes, tools, and engineered data management solutions to support data platforms including data warehouse, data lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it into a usable format, and load it into data platforms.
Build data governance and quality best practices and establish standard operating procedures.
Use Azure Data Factory to create pipelines that create, move, and transform data across the data stack.
Architect advanced data solutions for current and future data processes.
Mentor teammates and provide advisory support as needed.
Maintain knowledge of current trends, laws, and issues impacting the area of expertise.
Attend educational events to expand professional knowledge.
Complete annual compliance and information security training to understand employee responsibilities for effective compliance and security programs.

Requirements

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field. A comparable combination of work experience and training may substitute for education.
7+ years of experience making data usable to end users and working in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, optimizing and indexing, and base knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact-SQL.
Microsoft Azure (5 years): portal and resource navigation.
Azure Data Factory (5 years): developing pipelines, pipeline activities, troubleshooting, etc.
REST API experience.
GitHub: creating, updating, and submitting code.
Agile methodology (1 year) using the Kanban approach to limit work in progress.
Experience developing ETL processes.
Delta Lakes experience.
Lakehouse Architecture experience.
2+ years of experience designing data structures for a production environment.
Ability to prioritize tasks while managing competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized approach to task management.
Ability to analyze and resolve difficult and often complex problems or situations.
Strong written, verbal, and interpersonal communication skills to interact effectively with team members, staff, vendors, and government regulators.
Strong knowledge of credit union products, services, policies, and procedures.
Strong knowledge and understanding of regulatory compliance.
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties.

Technologies

Microsoft SQL Server
SSRS
SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
Git Hub
Agile Methodology
Kanban
Delta Lakes
Lakehouse Architecture

Compensation

Compensation: $86,000-$115,000 per year based on credentials and experience.

Location and Position Type

Location: Tampa, FL (Remote)
Remote requirement: Candidate must reside in Florida
Position type: Full Time

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

Additional Benefits Information

For more information, including additional benefits, visit: https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK. Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, visit https://careers.suncoastcreditunion.com/.

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Today

Data Engineer

Baker Group Ankeny, IA

Ankeny, IA

Today

Full time Azure Data Factory Azure Data Platform Azure Platform

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Job Description

Baker Group is seeking a Data Engineer to design, build, and maintain Microsoft Fabric data pipelines and infrastructure, enabling the organization’s data platform to function as a single source of truth. This role will own end-to-end ingestion, transformation, orchestration, governance, and preparation of datasets for reporting and AI/ML use cases.

Key Responsibilities

Design, build, and maintain ETL/ELT pipelines to ingest data from enterprise systems into Microsoft Fabric.
Architect and maintain the Fabric medallion Lakehouse structure, including bronze, silver, and gold layers, as the single source of truth for Baker Group.
Implement best practices for the data infrastructure and environment, including Development/Test/Production environments and Git-based version control.
Own pipeline orchestration, scheduling, and monitoring to support reliable, timely, and accurate data availability.
Curate and maintain core datasets across employee, finance, project, service, and manufacturing domains.
Establish and enforce data quality, validation, and reconciliation processes across all pipelines.
Design and manage data models, schemas, and semantic layers that enable Data Analyst reporting and Data Scientist modeling.
Define and maintain data ontologies and canonical business definitions to keep consistent meaning across systems and data consumers (for example, definitions of “project,” “employee,” or “cost code”).
Prepare and structure data for AI and machine learning, including feature-ready datasets, retrieval-augmented generation (RAG) pipelines, and vector embedding storage.
Manage Fabric capacity planning, workspace organization, and performance optimization.
Implement data governance practices such as access controls, lineage tracking, and metadata management aligned with Baker Group data classification standards.
Partner with business system owners (ERP, HRIS, MRP, etc.) to understand upstream structures and manage change impacts.
Collaborate with Data Scientists to ensure pipeline outputs support analytical and machine learning use cases.
Collaborate with Data Analysts to ensure data products support paginated reporting, dashboards, and self-service BI needs.
Collaborate with Software Development and DevOps teams to ensure data products support application development needs.
Coordinate with third-party consultants when needed to deliver data engineering projects and augment capacity for high-demand business needs.
Develop and maintain documentation for pipelines, schemas, and integration logic.
Troubleshoot and resolve pipeline failures, latency issues, and data quality incidents.
Monitor and maintain data-specific infrastructure, including Fabric capacity, pipeline orchestration tools, and monitoring/alerting systems.
Evaluate and recommend new data engineering tools, patterns, and best practices.
Stay current with emerging trends in data engineering, cloud data platforms, and integration techniques.

Required Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or another relevant quantitative field.
Three to five years of experience in data engineering, ETL/ELT development, or a related field.
Proficiency with SQL and database technologies for data extraction, transformation, and loading.
Experience with Microsoft Fabric, Azure Data Factory, or similar cloud ETL/orchestration tools.
Experience with medallion architecture and modern data warehousing patterns.
Experience with a programming language such as Python, PySpark, or T-SQL for data transformation.
Familiarity with data modeling techniques, including dimensional modeling and star schema.
Understanding of data governance, data quality, and metadata management practices.

Preferred Qualifications

Experience preparing data for AI/ML consumption (for example, vector embeddings and RAG architectures) is a plus.
Business acumen and understanding of construction or related industries is a plus.

Technologies

Microsoft Fabric
ETL, ELT
Azure Data Factory
Git
SQL
Python, PySpark
T-SQL
Medallion architecture
Dimensional modeling, star schema
Retrieval-augmented generation (RAG)
Vector embedding storage

Minimum Education and Experience Required

Bachelor’s degree
3+ years of experience (data engineering, ETL/ELT development, or related work)

Certifications (Optional)

No specific requirements; relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar cloud platform certifications are a plus.

Competencies and Work Style

Strong analytical and troubleshooting skills to diagnose and resolve complex pipeline and data quality issues.
Excellent time and project management skills to prioritize across multiple pipeline and infrastructure projects.
Strong communication skills, including translating technical data structures for non-technical stakeholders.
Team-oriented collaboration with Data Scientists, Data Analysts, and business system owners.
Ability to focus on complex technical problems and work independently with minimal supervision.
Meticulous attention to detail and a commitment to producing reliable, well-documented data infrastructure.
Ability to work in a fast-paced environment and adapt to changing business priorities.

Location and Environment

Location: Ankeny, IA (onsite)

Prolonged periods of sitting at a desk and working on a computer.
Must be able to lift 10 pounds occasionally.
May have occasional visits to a job site requiring periods of standing, walking, and/or climbing stairs.

Tools

Use a computer for 8 hours a day.

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