Director of Data Engineering (Remote - US) - job 1 of 3

This position is posted by Jobgether on behalf of SimplePractice. We are currently looking for a Director of Data Engineering in United States.

As the Director of Data Engineering, you will lead and shape the company’s data infrastructure and engineering initiatives, enabling a data-driven culture that powers both internal decision-making and customer-facing analytics. You will oversee the development, scaling, and optimization of data platforms, ensuring data is accurate, accessible, and secure. This role offers the opportunity to influence architectural direction, implement governance best practices, and mentor a high-performing team of engineers and architects. You will collaborate closely with stakeholders across product, engineering, and analytics to deliver impactful data solutions that drive business outcomes and enhance the customer experience. The environment is fast-paced, innovative, and cross-functional, providing autonomy to experiment with new technologies and approaches.

Accountabilities

·         Lead, mentor, and grow a high-performing team of data engineers, analytics engineers, and architects.

·         Define and execute data engineering strategies aligned with company objectives and product goals.

·         Oversee the design and development of scalable, robust, and secure data pipelines and platforms.

·         Drive best practices in data modeling, architecture, infrastructure, and governance.

·         Collaborate with data science, analytics, and application teams to deliver high-quality data products.

·         Implement and enforce data quality, security, and compliance standards, including GDPR and HIPAA.

·         Evaluate and adopt emerging tools and technologies in the data ecosystem.

·         Optimize data storage, processing, and access for performance and cost efficiency.

·         Manage data engineering budget, roadmap, and project priorities, ensuring alignment with business objectives.

·         BS or higher in Computer Science, Engineering, or related field.

·         7+ years of experience in data engineering, including leadership experience managing teams of engineers.

·         3+ years of experience in agile software development.

·         Proven expertise in building and scaling cloud-based data platforms (AWS, Azure, or GCP).

·         Strong knowledge of modern data architecture (e.g., lakehouse, data mesh, ELT) and hands-on experience with tools such as Snowflake, dbt, and Prefect.

·         Deep experience with data modeling and data warehouse architecture.

·         Familiarity with data governance frameworks and data privacy regulations.

·         Ability to align multiple functions and stakeholders on technical design choices and strategy.

·         Experience working in a product-led or fast-paced startup environment.

·         Comfortable with ambiguity and able to make data-driven decisions with limited information.

·         Familiarity with ML pipelines and support for data science workflows.

·         Bonus: background in DevOps practices, clinical or healthcare operations, or rolling out self-serve NLP queries.

·         Competitive base salary range: $208,000 - $260,000, plus eligibility for annual bonus or commission.

·         Comprehensive health coverage including medical, dental, vision, life, and disability insurance.

·         401(k) plan with company match.

·         Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays.

·         Paid parental leave and backup care resources.

·         Tuition reimbursement for professional growth.

·         Access to Employee Resource Groups (ERGs) and diversity-focused initiatives.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, 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.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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