Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, no…
Skills: Data engineering, Databricks, AWS, Azure, ETL development
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$130k–$170k/yr
Full-time
bachelor degree
Professional development, Diverse work environment, Collaborative culture
Posted 1d ago
~40 hrs/week
Remote in United States
Responsibilities
The consultant will design and implement complex ETL/ELT pipelines and lead data warehousing projects for client engagements. They will collaborate with internal and partner teams to deliver data solutions while ensuring security and compliance.
Requirements
Candidates must have a Bachelor's degree in Computer Science or equivalent and 3-5 years of experience in data engineering. Proficiency in Databricks, data modeling, and version control is required, along with at least 2 years of client-facing experience.
Full job description
Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.
Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients.
In the last year, Lovelytics has grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners.
This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. 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 for bringing meaning to data.
This role is open to remote candidates in the US.
This role is not open for work sponsorship at this time.
Primary Responsibilities:
Utilize consulting and technical skills to be able to work in a client-facing project environment independently.
Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
Collaborate with other team members to successfully deliver on projects.
Work effectively and directly communicate with both internal and client and/or partner teams.
Develop full ownership of your execution on client engagements, you'll become involved in the project planning and solution stages of engagements as well.
Design and implement complex ETL/ELT pipelines with evidence of improved data processing times.
Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead.
Contribute to real-time data processing solutions and managed streaming data.
Implement security and compliance measures for data pipelines.
Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.
Our Ideal Candidate's Skills and Experiences:
B.S. in Computer Science or equivalent
3-5 years' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders.
Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks A must
Data modeling and database design skills and knowledge of version control
Excellent verbal and written communication skills
Is able to apply technical skills to engagement needs
Works with engagement leads and directors to gain exposure in the design and architecture of solutions
Understands and utilizes Lovelytics tools and client tools
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
The base salary range for this position for candidates based in the US is $130,000-170,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.
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.
Related keywords
Data EngineeringDatabricksAWSAzureGCPETLELTData WarehousingData ModelingCI/CDCloud MigrationBig DataStreaming DataConsultingData StrategyGenerative AI
Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada, Argentina, Colombia, and Spain. Backed by Databricks Ventures and Interlock Equity, Lovelytics specializes in delivering cutting-edge solutions within the Databricks ecosystem, earning consistent recognition as a top Databricks partner. Lovelytics also partners with Microsoft Azure, Google Cloud, and AWS to bring Databricks to clients across all major cloud platforms.
Offices: 1001 19th St N, Arlington, Virginia 22209, US · 1 University Ave, Toronto, Ontario M5J 2P1, CA · Basavilbaso 1350, Of. 301, Buenos Aires, AR · 8B Street #65-191, Of. 407, Medellín, CO · P. Club Deportivo 1, Building 4, Madrid, ES
How much do Data & Analytics jobs in Arlington, VA pay?
Based on 874 listings with disclosed salaries, most data & analytics jobs in Arlington, VA pay between $82k–$194k per year. Individual offers vary with seniority, company size, and specialization.
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