We’re an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies think beyond clicks and conversions to unlock new opportunities for growth. We thrive on rolling up our sleeves and digging into the tough stuff for our 800+ clients. And we love getting them the most ROI from their digital marketing. If you’re up for the challenge, join us. Let’s move fearlessly forward together.
Job Title: Sr. Data Engineering Scientist 2
Compensation: $140,000 to $170,000
Location: Arizona, California, Colorado, Connecticut, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Jersey, New Mexico, New York, Oregon, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.
Adswerve is hiring a Senior Data Engineer 2 for their Technical Services team. This isn’t a typical engineering job; it requires a unique blend of analytical skills, client-facing communication, and a passion for data purity, big data analysis, and machine learning. The ideal candidate should have a background in data engineering, a desire to mentor others, and the ability to solve complex data challenges for clients. The role involves using tools like Google BigQuery, Data Studio and Python Notebooks to help clients build insightful marketing strategies. The position offers career growth in two directions: a tech focus on solving complex problems with scalable solutions or a client/people focus on project leadership and team management.

EXPERIENCE

• 3-5 years experience as a Senior Data Engineer or related role
• College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data engineering
• Advanced skills with SQL (for pulling data), Python (for writing pipelines) and JavaScript (for accessing data from websites)
• Advanced experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data
• Advanced familiarity with HTML, CSS and JavaScript / Modern JavaScript Frameworks (React)
• Proven ability to solve complex problems with on-time delivery, the highest quality, and creativity in the approach
• Experience with and desire to mentor and encourage growth in junior team members
• Ability to listen and understand business needs and creatively develop solutions
• Ability to work on a team and manage and prioritize individual workloads
• Strong desire to become a proficient Data Engineer for a fast paced company

This position pays a base salary of $140,000 to $170,000 per year. Wage differential is based on training and experience.
Our team of 250+ employees is spread out across 26 states and six countries. We keep everyone connected remotely with a team-oriented culture where everyone contributes and feels valued for their skills and unique perspectives.

If you want to work alongside the best and brightest analytics minds, we’d love to hear from you. You can get hands-on with the latest ad tech, work with exciting clients and pave the way for new industry processes and advancements. All while working for a company that prioritizes your work-life balance. Plus, we offer full-time Adswerve employees benefits you’ll love:

• Medical, dental and vision available for employees
• Paid time off including vacation, sick leave & company holidays
• Paid volunteer time
• Flexible working hours
• Summer Fridays
• “Work From Home Light” days between Christmas and New Year’s Day
• 401(k) Plan with 5% company match and no vesting period
• Employer Paid Parental Leave
• Health-care Spending Accounts
• Dependent-care Spending Accounts
• Employer Paid Basic Life Insurance
• Voluntary Life Insurance (Employee/Spouse/Child)
• Employer Paid Short & Long Term Disability
• Employee Assistance Program (EAP)
• Continuing Education Reimbursement
• Employee Referral Bonus Program
• Monthly Remote Work Stipend

Adswerve is an Equal Opportunity and E-Verify Employer. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, physical or mental disability, medical condition, gender identity, gender expression, results of genetic testing, service in the military, or on any other basis that would be in violation of any applicable federal, state, or local law. Adswerve will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization.
If you require assistance with your application, please reach out to careers@adswerve.com
Screening of Applications Begins: Immediately and will continue until the position is filled. For best consideration, please apply by 8/25/2025
Recruitment Agencies: We are not utilizing external 3rd party recruitment agencies for this search. Should those needs change, we will seek your assistance directly

• Develop and manage applications for analytics pipelines, including data visualization, cleaning, and access.
• Audit existing datasets for accuracy, reliability and consistency
• Work with senior team members to identify data models and algorithms to apply to unique client problems
• Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
• Coordinate with internal and client data engineering teams to implement models and supervise outcomes
• Develop various Big Data capabilities in the cloud for our clients, aligning them with business strategies and requirements
• Build data pipelines from various digital marketing platforms (like Google Marketing Platform, Facebook, and Instagram) to data warehouses.
• Create and implement data warehouses, including determining the right architecture, automating pipelines, and training clients on their value.
• Manage technical projects, overseeing scope, schedule, resources, and progress to ensure timely and on-budget delivery.
• Provide mentorship and guidance to junior team members, ensuring quality work and adherence to best practices.
• Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites, as well as installing advanced JavaScript data analytics tools
• Collaborate with Google Engineers to design scalable, resilient, and maintainable cloud-based solutions
• Work closely with Data Scientists to execute strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
• Develop monitoring strategies for infrastructure, platforms and applications aligning with enterprise strategy and overall industry trends
• Translate solutions and complicated concepts to all audiences, from executive level members to marketing teams
• Lead and drive projects assigned to completion with attention to detail and high quality
• Establish long term relationships with customers in order to gain and cultivate trust (become their Trusted Advisor)