Strategic Data Systems
W-2 On-Site in Cinncinnati, Ohio. No Sponsorship
Overview
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 II Location:
Cincinnati, OH (On-site) About the Role
A National Bank is seeking a
Data Engineer II
to join our growing data and analytics team. This role is critical in building scalable data management systems, developing high-performance pipelines, and ensuring data quality and reliability across the enterprise. The ideal candidate combines strong technical skills with a collaborative mindset, contributing to data architecture, integration, and advanced analytics initiatives. Responsibilities Design, build, test, and maintain data pipelines and management systems. Develop and optimize algorithms, predictive models, and prototypes. Ensure solutions align with business needs and industry best practices. Integrate new data management and software engineering technologies into existing systems. Establish processes for data mining, data modeling, and data transformation. Develop custom software components and analytics applications. Research and recommend new ways to leverage data for business impact. Collaborate closely with data architects, scientists, and IT teams. Implement and maintain disaster recovery and data resiliency procedures. Continuously improve data quality, reliability, and performance.
Qualifications
Bachelors degree in Computer Science, Engineering, or related field (or equivalent work experience). Experience with relational and non-relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.). Proficiency in a backend programming language such as Java, Python, or Scala. Strong understanding of data mining, data modeling, and algorithm development. Familiarity with distributed data systems (e.g., Spark, Kafka, Hive). Excellent problem-solving skills and ability to work in cross-functional teams.
What You'll Get
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!
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. Apply For Job #J-18808-Ljbffr
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 II Location:
Cincinnati, OH (On-site) About the Role
A National Bank is seeking a
Data Engineer II
to join our growing data and analytics team. This role is critical in building scalable data management systems, developing high-performance pipelines, and ensuring data quality and reliability across the enterprise. The ideal candidate combines strong technical skills with a collaborative mindset, contributing to data architecture, integration, and advanced analytics initiatives. Responsibilities Design, build, test, and maintain data pipelines and management systems. Develop and optimize algorithms, predictive models, and prototypes. Ensure solutions align with business needs and industry best practices. Integrate new data management and software engineering technologies into existing systems. Establish processes for data mining, data modeling, and data transformation. Develop custom software components and analytics applications. Research and recommend new ways to leverage data for business impact. Collaborate closely with data architects, scientists, and IT teams. Implement and maintain disaster recovery and data resiliency procedures. Continuously improve data quality, reliability, and performance.
Qualifications
Bachelors degree in Computer Science, Engineering, or related field (or equivalent work experience). Experience with relational and non-relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.). Proficiency in a backend programming language such as Java, Python, or Scala. Strong understanding of data mining, data modeling, and algorithm development. Familiarity with distributed data systems (e.g., Spark, Kafka, Hive). Excellent problem-solving skills and ability to work in cross-functional teams.
What You'll Get
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!
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. Apply For Job #J-18808-Ljbffr