Senior Data Integration Engineer
Senior Data Integration Engineer
Posted on :
26-08-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
26-08-2025
Job Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide.
Job Title: Senior Data Integration Engineer
Work Location: Worcester MA 01653
Job Type: Temp to Perm
Work Type: Onsite
Duration: 4 Months
Job Description/ Responsibilities
- Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis.
- This role primarily will become proficient with all internal & external data produced and consumed by THG.
- The engineer will understand where the data is basic data models and architecture how to access and obtain data and how to manipulate and work with data to produce output which may be reports datasets or self-service reports.
- The ideal candidate is a self-motivated adaptable and composed collaborator that can learn quickly.
Responsibilities & Essential Functions:
- This role will be driving larger more complicated projects independently as well as mentoring less experienced engineers.
- Data Engineer will collaborate with business partners and cross-functional teams on data/reporting
- requests.
- The assignments will become broader in nature usually requiring originality and ingenuity.
- This role will be accountable for successful outcomes related to designing developing implementing optimizing and maintaining data integrations pipelines and solutions.
Skills Experience and Qualifications:
Skills:
- Mandatory: Java JDBC Template JPA Springboot Ehache SQL REST.
- Proficiency in the following languages: Java SQL Python and Scala (prioritized order)
- Data Modeling: Creation of conceptual logical and physical data models for data objects object attributes and their relationships
- Analytical Skills: Data Engineers work with large amounts of data that will include facts figures and number crunching. You will need to profile the data and analyze it to find conclusions.
- Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document. You will need to write and speak clearly easily communicating complex ideas.
- Critical Thinking: Data engineers must look at the numbers trends and data and come to new conclusions based on the findings.
- Attention to Detail: Data is precise. Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.
- Math Skills: Data engineers need advanced math skills to estimate numerical data. Insurance experience required as well as insurance products.
- Debugging Skills: Data engineers need the ability to analyze issues with components in our data solutions and come up with remediation plans.
Experience:
- Experience in Java development with Java 8 & above J2EE Hibernate Maven GiT Jenkins JSON frameworks XML JMS JDBC Junit based testing frameworks like Mockito
- Demonstrated proficiency in Spring Framework including Data (JDBC ORM JMS) Security &Integration
- Proven experience in data engineering implementation of best practices for data storage integration transformation access etc. within Azure and on-premise platforms
- Experience in building and optimizing real-time and near real time data integration solutions for scale performance reliability and cost efficiency
- Experience with event streaming solutions like Apache Kafka and /or near real time messaging solutions such as Azure Service Bus is preferred.
- Experience in optimizing data pipelines to account for scale performance reliability and cost efficiency is preferred
- Demonstrated proficiency in relational NoSQL hierarchical and entity relationship data modeling
- Experience in creating easy to consume documentation of data processes and solutions to aid in knowledge transfer and continuity.
- Experienced in agile development methodologies developing high quality code and DevOps best practices
- Strong foundations with core Java concepts. Good understanding of Aspect Oriented Programming (AOP) Test Driven Development (TDD)
- Solid grasp of HTTP RESTful webservices Linux operating systems
- Coaching and mentoring less senior team member as well as conducting reviews for their work
Qualifications:
- Bachelor s degree or higher in Data Science Mathematics Statistics Computer Science Information Systems Business Information Technology or equivalent
- 5 plus years professional experience in data engineering data architecture data integration
- 5 plus years professional experience in Java development and Spring Framework
PREFERRED:
- Holds active Azure DP-203 (Microsoft Certified: Azure Data Engineer Associate) or equivalent.
- Other Azure DP certifications or equivalents are also applicable
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Employment Type
Full-time
Key Skills
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