Strategic Data Systems
Overview
Must be currently residing in the Greater Cincinnati, Ohio area to be eligible. 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 (Senior Data Quality Engineer) Location:
Cincinnati, OH On-Site in Blue Ash, OH (must be located in Cincinnati to apply) 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 freshnessfrom 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!
To Apply
Apply for this job through the SDS careers portal. #J-18808-Ljbffr
Must be currently residing in the Greater Cincinnati, Ohio area to be eligible. 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 (Senior Data Quality Engineer) Location:
Cincinnati, OH On-Site in Blue Ash, OH (must be located in Cincinnati to apply) 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 freshnessfrom 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!
To Apply
Apply for this job through the SDS careers portal. #J-18808-Ljbffr