Sr. Data Engineering Scientist 2 (Remote - US)

This position is posted by Jobgether on behalf of Adswerve, Inc. We are currently looking for a Sr. Data Engineering Scientist 2 in the United States.

We are seeking a highly skilled Senior Data Engineer to drive the design, implementation, and optimization of complex data solutions. This role combines technical expertise with client-facing collaboration, focusing on building scalable data pipelines, improving data quality, and supporting advanced analytics and machine learning initiatives. You will work closely with internal teams and clients to deliver actionable insights, mentor junior engineers, and ensure the successful execution of technical projects. This position offers opportunities for career growth in both technical problem-solving and client/project leadership, in a fully remote and collaborative environment spanning multiple states.

Accountabilities

·         Develop and manage analytics pipelines, including data cleaning, visualization, and access management.

·         Audit datasets for accuracy, reliability, and consistency, ensuring data integrity across projects.

·         Collaborate with team members to identify data models, algorithms, and predictive techniques to address client challenges.

·         Build data pipelines from digital marketing platforms to cloud-based data warehouses, ensuring scalability and performance.

·         Implement and maintain cloud-based data infrastructure, including warehouse architecture and automation of pipelines.

·         Lead technical projects, managing scope, schedule, resources, and delivery to ensure high-quality outcomes.

·         Mentor junior engineers, promote best practices, and contribute to team growth and knowledge sharing.

·         Support analytics implementations across websites, including tag management, HTML, JavaScript, and advanced analytics tools.

·         Collaborate with data scientists and engineers to execute proofs of concept and shape technical strategy.

Requirements

·         3–5 years of experience as a Senior Data Engineer or in a related data engineering role.

·         Proficiency in SQL, Python, and JavaScript for data extraction, transformation, and pipeline development.

·         Advanced experience with cloud platforms such as Google BigQuery, GCP, AWS, or Azure for big data solutions.

·         Familiarity with HTML, CSS, and modern JavaScript frameworks (e.g., React) for analytics implementation.

·         Strong analytical and problem-solving skills, with the ability to deliver high-quality solutions on time.

·         Experience mentoring and developing junior team members.

·         Excellent communication skills to translate complex technical concepts for diverse audiences.

·         Bachelor’s degree in Computer Science, Information Science, or equivalent experience; code school graduates with relevant experience are considered.

·         Desire to thrive in a fast-paced, collaborative, and client-focused environment.

Benefits

·         Competitive base salary: $140,000–$170,000/year, based on experience and training

·         Medical, dental, and vision insurance

·         Paid time off including vacation, sick leave, and company holidays

·         Paid volunteer time and flexible working hours

·         Summer Fridays and holiday “Work From Home Light” days

·         401(k) plan with 5% company match, no vesting period

·         Employer-paid parental leave

·         Health-care and dependent-care spending accounts

·         Employer-paid basic life insurance, voluntary life insurance, and short & long-term disability

·         Employee assistance program (EAP)

·         Continuing education reimbursement

·         Employee referral bonus program

·         Monthly remote work stipend

Jobgether is a Talent Matching Platform that partners with companies worldwide to connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile undergoes an AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 We automatically shortlist the top 3 candidates with the highest match to the role.
🧠 If needed, our human team may perform an additional review to ensure no strong profile is overlooked.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is complete, it is shared with the company, which makes the final decisions regarding interviews or next steps.

Thank you for your interest!

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