_{02nd September, 2025}

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
 
Job Title: Data Engineer III 
Location: Cincinnati, OH - must be located in Cincinnati to apply
 
 
Job Title: Data Engineer III (Senior Data Quality Engineer)
Location: On-Site – Blue Ash, OH

About the Role The End-to-End Fresh team is dedicated to ensuring that produce, meat, and seafood are delivered to customers with the highest level of freshness—from farm to fork. We leverage cutting-edge technologies, including Azure Data Platform, Databricks, Power BI, and Android-based tools, to monitor supplier performance, collect new data streams, and transform that data into actionable insights.
This role is ideal for a hands-on data engineer with strong experience in Azure, Databricks, and modern data architectures, who wants to design, build, and optimize scalable data pipelines and quality frameworks that directly impact customer experience.

Key Responsibilities

• Design and implement scalable data pipelines using Azure Data Lake, Databricks, and Unity Catalog.
• Develop and maintain data quality frameworks to monitor accuracy, freshness, and reliability.
• Partner with cross-functional teams to translate business requirements into data-driven solutions.
• Implement real-time and batch data integrations using Spark, Kafka, IBM MQ, and EventHub.
• Conduct complex data analysis, identify trends, and deliver insights via reporting tools such as Power BI.
• Define data migration and modernization strategies to evolve current platforms.
• Champion data governance, security, and best practices to promote reusable data assets.
• Collaborate with 3rd-party vendors to integrate and validate data solutions.

Minimum Qualifications

• Proven experience building cost-effective, performance-driven solutions using Microsoft Azure and Databricks.
• Strong proficiency in SQL, Spark, and Python.
• Experience with SQL and NoSQL data stores on big data platforms.
• Hands-on experience with streaming technologies (Kafka, IBM MQ, EventHub).
• Solid understanding of data principles, patterns, and architectures.
• Experience with relational data modeling and database design.
• Strong analytical skills with attention to detail and accuracy.
• Ability to own assignments, communicate clearly, and deliver results.
• Basic understanding of network and data security architecture.

Desired Skills & Experience

• Exposure to machine learning, AI, or operational data science solutions.
• Azure Data Engineer Certification (or equivalent).
• Experience with cloud-native architectures (Azure, GCP, or multi-cloud).
• Experience with data science platforms.
• Degree in Computer Science, IT, or related field.

What You'll Get
 
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
 

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance provided
• 401(k) with a company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance offering
• You'll be eligible to earn referral bonuses!

Apply For Job