Mid Level Data Engineer

you will be part of a highly skilled team of innovative data professionals who are responsible for designing and implementing our enterprise data lake, data model, and the ETL/ELT pipelines that feed our business and analytical systems. You and your teammates will collaborate with internal and external customers and our affiliate companies, empowering them to solve business problems and gain powerful insights using high-performance datasets, enterprise analytics systems, and self-service tools such as Alteryx, R, Python, and Power BI.

• Collaborate with business and IT teams to implement a comprehensive and easily expandable Enterprise Data Model based on business need.
• Be a thought leader on future data usage (Data Futurist) and a catalyst for converting data into a knowledge base.
• Contribute, build, and participate in the design and enhancement of our enterprise data model, enterprise analytics systems, data marts, and data warehouse/data lake.
• Build robust, scalable, and high-performing data pipelines with real-time & batch design patterns across structured & unstructured data sources.
• Leverage appropriate design patterns for the problem being solved, such as near-real-time/change data capture, batch processing, streaming data, etc.
• Collaborate with internal and external customers, our affiliates, and other IT teams to implement a roadmap for the enterprise data model and the systems that support it, including the maintenance of consistent data entity and element definitions across multiple environments.
• Participate in design reviews to foster team accountability and maintain a high standard of quality.
• Evangelize and democratize our data assets and empower users with self-service tools and training to enable them to leverage those assets effectively.
• Engage with multiple concurrent projects both within your team and with other teams.
• Articulate ideas and architectural concepts clearly and concisely through verbal and written communication.
• Monitor and measure system and process performance and make corrections and enhancements where needed as part of a focus on continual improvement.
• Provide on-call/after-hours support for processes and systems owned by the team on a rotating basis.

• 3-5 years of experience in a Data Engineer or comparable role is required.

• Strong skills in querying databases (t-SQL, PL-SQL, etc.), data modeling (including data warehouse design concepts such as star schema design, etc.), data engineering, and data reverse engineering skills are required.
• Strong verbal and written communication skills are required.
• Ability to work cross-functionally in a fast-paced, high growth environment and manage multiple concurrent workstreams and priorities is a must.
• A bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is a plus.
• Experience with any of the following technologies is a plus: SAP Data Integrator, Syniti Data Replication, Microsoft SQL Server, SQL Server Integration Services (SSIS), Oracle Business Intelligence/Oracle Analytics Server, JD Edwards, DB2, Python, Power Shell, R, Scala, Go, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.), Google Analytics, Google Big Query, Snowflake, Alteryx, Power BI, and Windows and Linux servers.
• Experience performing root cause analysis on datasets and processes to answer specific business questions, identify opportunities for improvement, or resolve system or process issues is a plus.
• General expertise in enterprise IT architecture (databases, ERP, middleware, UI, networking, infrastructure) is a plus.
• Experience implementing high availability (HA) and disaster recovery (DR) solutions is a plus.

• 3-5 years of experience in a Data Engineer or comparable role is required.

• Strong skills in querying databases (t-SQL, PL-SQL, etc.), data modeling (including data warehouse design concepts such as star schema design, etc.), data engineering, and data reverse engineering skills are required.
• Strong verbal and written communication skills are required.
• Ability to work cross-functionally in a fast-paced, high growth environment and manage multiple concurrent workstreams and priorities is a must.
• A bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is a plus.
• Experience with any of the following technologies is a plus: SAP Data Integrator, Syniti Data Replication, Microsoft SQL Server, SQL Server Integration Services (SSIS), Oracle Business Intelligence/Oracle Analytics Server, JD Edwards, DB2, Python, Power Shell, R, Scala, Go, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.), Google Analytics, Google Big Query, Snowflake, Alteryx, Power BI, and Windows and Linux servers.
• Experience performing root cause analysis on datasets and processes to answer specific business questions, identify opportunities for improvement, or resolve system or process issues is a plus.
• General expertise in enterprise IT architecture (databases, ERP, middleware, UI, networking, infrastructure) is a plus.
• Experience implementing high availability (HA) and disaster recovery (DR) solutions is a plus.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.