Data Engineer
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DescriptionKforce has a client that is seeking a Data Engineer in Merrimack, NH. Duties:
- Simplifying and effectively communicating technical challenges, solutions options, and recommendations to business partners and technology leadership
- Data Engineer will provide technical leadership and support in data and solutioning to team members
- Produce scalable, resilient, cloud-based systems design aligned with our long-term strategy
- Collaborate with team leads, tech leads and architects on setting the technical roadmaps
- Recognizing opportunities to bring emerging technologies to deliver innovative solutions to meet business challenges
- Understand detailed requirements and deliver solutions that meet or exceed customer expectations
- As a Data Engineer, you will take ownership and accountability
- Adaptability to a changing and challenging workload
- 6+ years of related experience in data engineering, data analysis, data warehouses, data lakes and Data Modeling
- Good experience with relational database technologies (Oracle SQL & PL/SQL, Postgres, or similar RDBMS)
- Experience with Snowflake, AWS RDS, Azure, and other Cloud Data warehousing services
- Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with Control-M and schedulers, Python and shell scripting
- Demonstrable experience in understanding multi-functional enterprise data, navigating between business analytic needs and data
- Experience with Data Modeling & techniques to design Analytical and OLTP data designs
- Prior experience with Data ingestion tool sets (e.g. Apache NiFi, Kafka) is advantageous
- Experience with API's, Python, Power apps is advantageous
- Experience in Data Architecture (Database design, performance optimization)
- Knowledge and expertise of data modelling techniques and standard processes (Relational, Dimensional), plus any prior experience with data modelling tools (e.g. PowerDesigner)
- Proven track record as a leader with vision and mentor, working in collaborative teams to deliver high quality data solutions in a multi-developer global environment following design & coding standards
- You are self-motivated and function well within a team delivery format
- You have excellent organizational and communication skills
- Outstanding SQL skills and experience performing deep data analysis on multiple database platforms
- Ability to develop highly reliable ELT/ETL pipelines to move data to and from Snowflake data store using combination of Python and Snowflake Snow SQL
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
This job is not eligible for bonuses, incentives or commissions.
Freqently Asked Questions
Merrimack's tech market is growing steadily, with data engineering roles becoming increasingly sought after, especially in cloud and data warehousing expertise. Local companies prioritize candidates skilled in AWS, Snowflake, and SQL, so competition favors those with strong cloud and ETL pipeline experiences.
Merrimack offers reasonable road connectivity and local transit, but many tech professionals prefer driving due to limited public transport. Evaluating proximity to the workplace and flexible scheduling options can help ease daily commutes, especially for data engineers working on complex projects that may require extended hours.
Mastering ETL/ELT pipeline development, cloud data platforms like Snowflake and AWS RDS, plus strong SQL proficiency are essential. Additionally, familiarity with data modeling, scripting languages (Python, shell), and message ingestion tools like Kafka enhances your ability to design scalable and efficient data systems.
Advancement often involves leading cross-functional teams, architecting enterprise-scale data solutions, and influencing technology strategies. Senior data engineers frequently transition into managerial roles or specialize in cloud architecture, gaining influence over data governance and innovation pipelines within organizations.
Daily tasks revolve around designing and optimizing data pipelines, collaborating with data scientists and architects, troubleshooting data flow issues, and ensuring robust data architecture. Data engineers balance technical problem-solving with clear communication to align solutions with business analytics demands.
Kforce emphasizes technical leadership and collaborative innovation within a global, multi-developer environment. Their approach encourages ownership of data solutions and adaptability, providing Data Engineers opportunities to engage with emerging cloud technologies and participate actively in shaping technical roadmaps.
Given Kforce's focus on scalable cloud systems and cross-team collaboration, engineers must navigate complex multi-functional data environments and rapidly evolving workloads. Success depends on strong communication skills, mentoring ability, and agility in adopting new technologies to maintain high-quality data pipelines.
Data Engineers at Kforce in Merrimack typically see compensation varying widely based on experience and skillset, but the range is competitive with market rates, often from mid to upper six figures annually. Factors like certifications, cloud expertise, and leadership responsibilities influence individual pay.
Certifications focused on cloud platforms such as AWS Certified Data Analytics, Snowflake certifications, or Azure Data Engineer Associate significantly enhance prospects in Merrimack, aligning well with employer preferences for modern data warehousing and pipeline management skills.
Many assume Data Engineers only handle database management, but the role encompasses designing scalable architectures, integrating complex data sources, and collaborating across teams. US roles often demand cloud expertise and scripting skills beyond traditional ETL, reflecting the evolving data ecosystem.
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