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Data Engineer II (Senior Consultant)

lovelyticsWorldwideRemote
This job is no longer open

Lovelytics is seeking an ambitious data engineer who is comfortable working in a client-facing role, to join our Data & AI team and work on strategic Databricks and other data engineering projects.
This Level 2 will primarily focus on participating in engagements with clients related to data warehousing, ETL development, data integrations, and data modeling. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion Location: This role is open to remote candidates in the following states: AZ, CA, DC, VA, MA, MD, FL, GA, IL, IN, KS, NC, NJ, NY, PA, OR, TN, TX, WA

This role is not eligible for candidates requiring sponsorship in order to work in the US.


Primary Responsibilities:


  • Utilize consulting and technical skills to be able to work in a client-facing project environment
  • Be responsible for the execution of client engagements as assigned and under the supervision of the engagement lead
  • Collaborate with other team members to successfully deliver on projects
  • Work effectively and directly with both internal and client and/or partner teams
  • Support data integration efforts using cloud services.
  • Deliver ETL/ELT pipelines for small-scale projects independently.
  • Actively contributed to data warehousing initiatives.
  • Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data.

Our Ideal Candidate's Skills and Experiences:


  • B.S. in Computer Science or equivalent
  • 2-3 yrs' experience in data engineering and big data in a professional setting. Preferably with 1 year of working directly with clients and external stakeholders.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks and/or Spark a MUST
  • Proficiency in programming languages: Writing and debugging Python, SQL, and possibly Scala code.
  • Basic data modeling and database design skills and knowledge of version control
  • Excellent verbal and written communication skills
  • Databricks certification a plus 

What We Promise You:


  • Exciting projects with great clients in varying departments and verticals across the world
  • The ability to work closely with experienced data engineers and quickly grow and expand your skillset
  • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
  • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
  • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability. 

This job is no longer open

Life at lovelytics

Lovelytics is a business intelligence services firm that uses Tableau and other leading analytics platforms to provide clients with a better understanding of their data and help make smarter business decisions. We provide top data architecture and the finest talent in the Tableau community to fulfill your business needs. Our wide range of expertise covers a vast array of industries and analytics tools, including Tableau, Mapbox, Snowflake, and Alteryx amongst many other solutions. Staying true to our name, we simplify complex data to create understandable, insightful, and reliable data environments and visualizations.
Thrive Here & What We Value- Exciting Projects with Great Clients in Varying Departments and Verticals Across the World- Ability to Work Closely with Experienced Data Engineers, Expand Skillset- Collaboration with All Sizes of Companies (Fortune 100 to Small Businesses)- Encouragement for Innovation and Development of New Technologies/Methodologies/Processes- Diverse Team Comprising Data Gurus, Experience Seekers, Entrepreneurial Minds
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