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Sr. Data Engineer

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Alabama (USA), United States

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field., 5+ years of experience in data engineering., Proficiency in Python, SQL, and R., Experience with ETL tools (e.g., Apache Airflow)., Hands-on cloud platforms experience (AWS, Azure, Google Cloud)..

Key responsabilities:

  • Design and maintain data pipelines and ETL processes.
  • Ensure high data quality and integrity across systems.
  • Collaborate closely with AI architects and data scientists.
  • Optimize data processing systems for efficiency.
  • Manage data infrastructure on cloud platforms.
NexusTek logo
NexusTek SME https://www.nexustek.com/
201 - 500 Employees
See more NexusTek offers

Job description

NexusTek is anchored by a long-established core business that delivers unparalleled managed IT services to a wide range of clients. We are embarking on a new chapter, expanding our offerings with three strategic initiatives: Professional and managed services for hybrid cloud, cyber security, generative AI and data. Our ambition is to cultivate a premier service organization recognized nationally for its leadership in these areas. 

Our mission is to take away technology headaches allowing our clients to focus on their core business.  

NexusTek’s 375 employees span 43 states to service our growing client base. We have physical offices in Denver, CO, Irvine, CA, Nw York, NY, and Monroe, CT.   


Working hours 

Monday – Friday 8:00 am - 5:00 pm local time  

Occasional afterhours based on client need  

  

Location requirements 

Open to remote, United States    

Limited travel may be required  

 

Why this job is exciting 

No two days are alike at an MSP!  At Nexustek, we are transforming the way businesses leverage AI by developing and deploying cutting-edge solutions. Our AI practice focuses on delivering impactful AI-based applications for our clients, and we are looking for a highly skilled Senior Data Engineer to join our dynamic team. This role is pivotal in preparing and structuring data so our AI architects can unlock its full potential. If you want to work on impactful AI projects that transform businesses while collaborate with a diverse, innovative, and forward thinking team - apply today. 

 

Who you are 

The Senior Data Engineer will be responsible for making client data usable and accessible for AI applications. This includes designing, developing, and optimizing data pipelines, ensuring data quality, and collaborating with AI architects to meet the requirements for various AI models and solutions.

  

Key Responsibilities:

· Data Pipeline Development: Design, build, and maintain scalable data pipelines and ETL processes to ingest, clean, and transform data from multiple sources, including relational databases, APIs, and data lakes.

· Data Quality and Integrity: Implement best practices for data validation and ensure high data quality and consistency across all systems.

· Collaboration: Work closely with AI architects and data scientists to understand data needs and align data architecture and pipelines accordingly.

· Performance Optimization: Optimize and tune data processing systems for maximum performance and efficiency.

· Cloud Data Management: Manage and scale data infrastructure on cloud platforms (e.g., AWS, Azure, Google Cloud) to support AI model development.

· Documentation: Document data engineering processes, data schema, and data flow diagrams to ensure transparency and maintainability.

· Security and Compliance: Implement and maintain data security measures to comply with industry standards and regulations.

Qualifications:

· Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

· Experience: 5+ years of experience in data engineering, database management, or a related role.

· Strong problem-solving and analytical skills.

· Effective communication and ability to collaborate across teams.

· Detail-oriented and committed to delivering high-quality results.

· Technical Skills:

  • Proficiency in data engineering languages such as Python, SQL, and R.
  • Experience with ETL tools and frameworks (e.g., Apache Airflow, Informatica, Qlik).
  • Knowledge of database technologies (e.g., Snowflake, Redshift, Postgres, Oracle).
  • Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) and their data services.
  • Familiarity with data warehouse design, data modeling, and data mining techniques.


Preferred Qualifications:

· Familiarity with real-time data processing and stream analytics.

· Experience in supporting AI and machine learning initiatives.

· Knowledge of data governance and compliance standards.



Pay and Benefits  

This is a full-time position located in the United States and performed remotely with some travel.    

In addition to legally-required benefits, NexusTek offers a generous benefit package to eligible full-time employees, which currently includes the following:   

  • Four weeks of annual accrued PTO   
  • Seven paid national holidays  
  • Medical, dental, vision options   
  • Company-paid life insurance, short and long-term disability  
  • Voluntary benefits such as critical illness and accident  
  • Voluntary Legal Shield and identity theft protection   
  • Discretionary annual 401k match plan  
  • Generous employee referral bonus plan  
  • Employee Assistance Program  
  • Access to over 90,000+ courses in ADP My Learning   
  • StandOut employee engagement tools   
  • We’re happy to provide our full benefits guide at any point in the process!

 

We’re happy to provide our comprehensive benefits guide. Each benefit is subject to eligibility requirements as specified in plan documents, and the Company reserves the right to modify the benefits it offers from time to time. 


Interview Process 

Below is our typical interview process for this role: 


Application Stage - Woohoo - Thanks for showing interest! 

Screening Stage - Let's get to know each other! 

  • Our recruiters carefully consider each application. If you are selected to move forward, we will contact you for the introductory screening 
  • 20-minute recruiter screening to introduce you to NexusTek, discuss your qualifications, and answer questions 

 

Interview Stage – We’ll dive into your experience more in depth 

  • 1- hour virtual interview with Hiring Manager 
  • 1- hour virtual interview with team member
  • References: 3 professional references with at least one being someone who directly managed you 
  • You are welcome to request additional conversations with team members you didn’t get to meet during the process 

 

  

NexusTek provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws 

 

NexusTek participates in E-Verify for all US Employees 

 

Please be aware of potential recruitment fraud and fake social media pages. NexusTek will never ask you to pay a fee as part of the interview process. Additionally, we will not ask for your personal banking information until you have signed an employment offer and completed virtual onboarding training and paperwork provided by our HR team.  

All communications with NexusTek professionals will only be sent from an @nexustek.com or ADP email address and never originate from gmail.com, yahoo.com, or other commercial email services. If you are viewing this job post outside of our website and interested in exploring opportunities, please go directly to our Careers Page:  https://www.nexustek.com/nexustek-careers/ or https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=567e686e-7575-49d9-b29f-985e7365f987&ccId=19000101_000001&type=MP&lang=en_US 




Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Collaboration
  • Problem Solving
  • Detail Oriented
  • Analytical Skills

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