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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 seeks a Senior Data Engineer to design, evaluate, and test data infrastructure that turns raw inputs into usable information. This role supports ETL pipelines, data modeling and governance, analytics, and natural language processing capabilities, with close collaboration across business teams.

Key Responsibilities

Build systems and infrastructures to collect and process data aligned to company 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 existing data infrastructure to fulfill data requests, including data housekeeping, cleansing, normalization, hashing, and implementation of required data model changes.
Analyze data to identify anomalies, trends, and correlations across related datasets.
Design, develop, and implement natural language processing software modules.
Troubleshoot data platform and pipeline issues, identify potential solutions, and resolve accordingly.
Partner with business counterparts to define requirements for provisioned data and update defined requirement document templates.
Work with the manager to translate business requirements into schema and data model decisions.
Ensure design efficiency to minimize data refresh lag between systems so reporting stays timely.
Deploy data architectures based on manager-established standards that support Suncoast’s data strategy and information architecture needs.
Follow measurable processes, tools, and engineered data management solutions supporting data platforms such as 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.
Establish data governance and quality best practices and standard operating procedures.
Utilize Azure Data Factory to create pipelines for creating, moving, and transforming data across the data stack.
Architect advanced data solutions for current and future data processes.
Provide mentorship to teammates and offer advisory support.
Maintain knowledge of current trends, laws, and issues affecting the area of expertise.
Attend educational events to support professional development.
Complete annual compliance and information security training to understand employee responsibilities for effective compliance and security programs.

Required Qualifications

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

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
GitHub
Agile Methodology and Kanban
Delta Lakes
Lakehouse Architecture

Compensation and Employment Details

Salary Range: USD 86,000 - 115,000 per year (based on credentials and experience).

Position Type: Full Time

Location: Remote (candidate must reside in Florida)

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

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

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace due to an inclusive culture focused on growth and community. For more information, visit the careers site: 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 looking for a data engineer to design, build, and maintain the data pipelines and infrastructure that power analytics and AI use cases on Microsoft Fabric. In this role, you will help establish Baker Group’s data platform as a single source of truth, covering ingestion, transformation, orchestration, governance, and preparation for reporting and machine learning.

This onsite position is based in Ankeny, IA, and it’s ideal for someone with strong ETL/ELT and SQL experience who can own data quality and reliability across end-to-end workflows.

What you’ll do

Design, build, and maintain ETL/ELT pipelines that ingest data from enterprise systems into Microsoft Fabric.
Architect and maintain the Fabric medallion Lakehouse structure (bronze, silver, gold) as Baker Group’s single source of truth.
Develop best practices for the data infrastructure and environment, including Development/Test/Production setups and Git-based version control.
Own pipeline orchestration, scheduling, and monitoring to support reliable and timely 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 pipelines.
Design and manage data models, schemas, and semantic layers for Data Analyst reporting and Data Scientist modeling.
Define and maintain data ontologies and canonical business definitions (for example, “project,” “employee,” or “cost code”) to ensure consistent meaning.
Prepare data for AI and machine learning use cases, 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 aligned with Baker Group’s data classification standards, including access controls, lineage tracking, and metadata management.
Partner with business system owners (ERP, HRIS, MRP, and others) to understand upstream structures and manage change impacts.
Collaborate with Data Scientists and Data Analysts to ensure pipeline outputs support modeling and paginated reporting, dashboards, and self-service BI.
Collaborate with Software Development and DevOps teams so data products support application development needs.
Coordinate with 3rd party consultants when necessary to deliver data engineering projects and extend capacity for demanding 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 on emerging trends in data engineering, cloud data platforms, and integration techniques.

Requirements

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

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

Additional notes

Experience preparing data for AI/ML consumption (vector embeddings, RAG architectures) is a plus.
Business acumen and understanding of construction or related industries is a plus.
No specific certificates required; relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar are a plus.
Must have strong analytical and troubleshooting skills, excellent time and project management skills, and strong communication for translating technical data structures to non-technical stakeholders.
Must be able to focus on complex technical problems independently with minimal supervision.
Environmental requirements include prolonged desk work; ability to lift 10 pounds occasionally; and occasional visits to a job site involving standing, walking, and/or climbing stairs.
Equipment includes a computer used for 8 hours a day.

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