Senior Consultant, Data Engineer

Lovelytics • Arlington, VA

1d • $90,000 - $125,000 • Remote

About The Position

Lovelytics is hiring a Senior Consultant, Data Engineer to deliver client engagements involving data warehousing, ETL development, SAP, data integrations, and data modeling. This client-facing role uses and migrates clients to partner technologies, including Databricks, AWS, and Azure. The consultant works independently on assigned execution, collaborates with internal, client, and partner teams, and may lead individual work streams under an engagement lead’s supervision. The role also offers involvement in project planning and solution stages, with opportunities to gain exposure to solution design and architecture.

The position is open to remote candidates in the US and is not open to work sponsorship at this time. Lovelytics describes its environment as collaborative, dynamic, inclusive, and technically excellent, with opportunities to work across a range of clients and industries.

The US base salary range is $90,000–$125,000 per year. Compensation depends on factors including relevant experience, skills, qualifications, role scope, and budget; candidates are not guaranteed a particular point in the range.

Requirements

• Bachelor of Science in Computer Science or equivalent.
• 2–3 years of experience in data engineering and big data.
• At least 1 year of experience working directly with clients and external stakeholders.
• Extensive knowledge of data warehousing concepts.
• Hands-on experience deploying pipelines using Databricks.
• Data modeling and database design skills.
• Knowledge of version control.
• Excellent verbal and written communication skills.
• Ability to apply technical skills to engagement needs.
• Ability to work with engagement leads and directors to gain exposure to solution design and architecture.
• Ability to understand and use Lovelytics tools and client tools.

Responsibilities

• Work independently in client-facing project environments using consulting and technical skills.
• Own execution on client engagements and sometimes lead individual work streams under the supervision of an engagement lead.
• Collaborate with team members to successfully deliver projects.
• Communicate effectively and directly with internal teams, clients, and partners.
• Participate in project planning and solution stages of engagements.
• Design and implement complex ETL/ELT pipelines, demonstrating improved data processing times.
• Lead small data warehousing projects under an engagement lead’s management, achieving measurable performance enhancements.
• 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 promotion and testing in higher environments.

Benefits

• Exciting projects with clients across departments and industries.
• Opportunity to work closely with experienced data engineers and grow skills.
• Opportunity to work with companies ranging from Fortune 100 organizations to small local businesses.
• A workplace that encourages challenging the status quo and developing new technologies, methodologies, and processes.
• A diverse team of data professionals, experience seekers, and entrepreneurial minds.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior