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Data Integration Engineer / Senior Data Architect - 5351

Verista’s 600 experts team up with the world’s most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world’s most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities.

Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day.

Company Culture Guidelines & Values:

  • We empower and support our colleagues
  • We commit to client success at every turn
  • We have the courage to do the right thing
  • We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged.
  • We constantly acquire new skills and learn from our experiences to enhance our collective expertise

Data Integration Engineer Responsibilities:

We are seeking a skilled Data Integration Engineer with strong competencies in business analysis to join our team. The ideal candidate will be responsible for designing, developing, and implementing data integration solutions that meet the business needs of our client organization. In addition to technical expertise in data integration tools and technologies, the candidate should possess a deep understanding of business processes (BA-Role) and the ability to translate business requirements into technical solutions. We are looking for an experienced individual with documented Agile Software Development Lifecycle Procedures knowledge.

  • Design, develop, and implement data integration solutions to ensure seamless flow of data across systems
  • Collaborate with business stakeholders to understand their requirements and translate them into technical specifications
  • Perform data analysis to identify trends, patterns, and insights that can drive business decisions
  • Develop and maintain data models, mappings, and transformations to support data integration processes
  • Monitor data quality and integrity and implement data governance best practices
  • Work closely with cross-functional teams to ensure alignment between business needs and technical solutions
  • Provide technical support and troubleshooting for data integration issues.
  • Bachelor’s degree in computer science, Information Systems, or related field
  • Experience with business analysis techniques and tools – (BA- role)
  • Proven experience in data integration, ETL processes, and data modeling.
  • Strong proficiency in SQL, Python, or other programming languages
  • Experience in working within regulated environments GxP, and other relevant regulatory standards
  • Excellent analytical and problem-solving skills
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • 7-12 years of role relevant experience

Why Choose Verista?

  • High growth potential and fast-paced organization with a people-focused culture
  • Competitive pay plus performance-based incentive programs
  • Company-paid Life, Short-Term, and Long-Term Disability Insurance.
  • Medical, Dental & Vision insurances
  • FSA, DCARE, Commuter Benefits
  • Supplemental Life, Hospital, Critical Illness and Legal Insurance
  • Health Savings Account
  • 401(k) Retirement Plan (Employer Matching benefit)
  • Paid Time Off (Rollover Option) and Holidays
  • As Needed Sick Time
  • Tuition Reimbursement
  • Team Social Activities (We have fun!)
  • Employee Recognition
  • Employee Referral Program
  • Paid Parental Leave and Bereavement

For more information about our company, please visit us at Verista.com

For US geography, the salary range for this position is shown below. The actual salary is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs, market demand, and competitive market practice. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This salary range is subject to change and may be modified in the future.

$102,410-151,463

*Verista is an equal opportunity employer.

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What You Should Know About Data Integration Engineer / Senior Data Architect - 5351, Verista

Join Verista as a Data Integration Engineer and be a pivotal member of our dynamic team dedicated to improving lives through innovation in the life sciences sector. As a Data Integration Engineer, you'll design, develop, and implement data integration solutions that are essential for our clients' business needs. You'll engage closely with business stakeholders to gather requirements and translate them into actionable technical specifications. With your expertise in creating seamless data flows across various systems and ensuring data quality, you'll contribute to meaningful insights that can create real change in healthcare. If you have a knack for data analysis, enjoy working collaboratively, and are passionate about making a difference, Verista offers a vibrant culture that empowers growth and learning. Here, your efforts will not only foster your personal and professional development but will also enhance our mission to enable life sciences clients to overcome critical challenges. If you thrive in a fast-paced, team-oriented environment and are keen on utilizing your advanced skills in SQL, Python, and data modeling, then your adventure at Verista starts here!

Frequently Asked Questions (FAQs) for Data Integration Engineer / Senior Data Architect - 5351 Role at Verista
What are the main responsibilities of a Data Integration Engineer at Verista?

As a Data Integration Engineer at Verista, your primary responsibilities will include designing, developing, and implementing data integration solutions that suit the client's requirements. You will collaborate closely with business stakeholders to convert their needs into technical specifications, while also performing detailed data analysis to uncover trends that inform business decisions.

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What qualifications do I need to become a Data Integration Engineer at Verista?

To qualify for the Data Integration Engineer position at Verista, you should possess a bachelor’s degree in computer science or a related field, along with 7-12 years of relevant experience. Proficiency in SQL and Python, as well as a strong understanding of data integration processes and business analysis techniques, is also essential.

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How does Verista support the development of Data Integration Engineers?

Verista is committed to fostering a people-focused culture. As a Data Integration Engineer, you will have opportunities for growth through tuition reimbursement, internal training, and collaborative team activities. We believe in investing in our employees to enhance their skills and expertise over time.

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What type of projects will a Data Integration Engineer work on at Verista?

At Verista, Data Integration Engineers work on projects that aim to streamline data processes within regulated environments. This includes designing data models, establishing data transformations, and ensuring data governance best practices to support clinical and regulatory data needs within the life sciences sector.

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How does the company culture at Verista affect the role of a Data Integration Engineer?

The company culture at Verista emphasizes empowerment, client success, and continuous learning. As a Data Integration Engineer, you'll thrive in a supportive environment that encourages collaboration and inclusivity, allowing you to grow professionally while contributing positively to the broader mission of improving lives through science.

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Common Interview Questions for Data Integration Engineer / Senior Data Architect - 5351
Can you describe your experience with data integration tools?

When answering this question, be specific about the data integration tools you've used in previous roles. Discuss how you've utilized these tools to create effective data solutions, highlighting specific projects that demonstrate your skills.

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How do you approach business analysis for data requirements?

In your response, outline your process for gathering requirements from stakeholders. Explain how you ensure clarity and alignment, and give an example of how this has led to successful data integration solutions in the past.

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What techniques do you use for data quality assurance?

Share the methods you employ to ensure data integrity and quality, such as data validation processes or specific tools you've used. Mention how these techniques have impacted your work positively.

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Can you give an example of a successful data integration project you led?

Provide a detailed description of a specific project where you faced challenges but overcame them to deliver a robust data integration solution. Highlight key metrics to illustrate its success.

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How do you handle conflicts between technical solutions and business needs?

Discuss your approach to conflict resolution, emphasizing your ability to listen to both sides and find a middle ground. Providing an example from your experience will strengthen your response.

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What programming languages are you proficient in, and how have you used them in data integration?

Mention the programming languages you're comfortable with, and elaborate on how you've applied them in past roles. Give concrete examples of how your coding skills have facilitated data integration tasks.

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What experience do you have with ETL processes?

Describe your hands-on experience with Extract, Transform, Load (ETL) processes. Discuss the tools and technologies you have used, and how you've successfully implemented these processes to derive value from data.

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How do you stay updated with emerging data technologies?

Share your strategies for ongoing learning, whether through courses, webinars, or networking. Mention specific trends or technologies that excite you and how they relate to your work as a Data Integration Engineer.

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What challenges do you foresee in data integration in the life sciences sector?

Answer this by discussing specific challenges unique to the life sciences industry, such as regulatory compliance or data privacy. Illustrate how your skills and experiences allow you to navigate these challenges effectively.

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How do you prioritize multiple data integration projects simultaneously?

Describe your project management approach, elaborating on tools and frameworks you use to ensure that deadlines are met while maintaining quality. Provide an example of how you successfully managed competing priorities in a previous role.

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We enable life sciences clients to improve lives.

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Full-time, remote
DATE POSTED
December 18, 2024

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