Job description

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone! We are looking for a Senior Data Engineer to join our Data Science team. The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and execute a strategic Data Engineering Roadmap that maximizes the value of the organization's data assets and ensures alignment with long-term business goals. This involves managing ETL/ELT processes, optimizing database systems for performance and scalability, and driving continuous improvement in data engineering workflows. The Senior Data Engineer also collaborates with cross-functional teams to ensure that data solutions meet business needs and support data-driven decision-making across the organization. T his position is EST-based. Talkspace is headquartered in NYC. What You’ll Do Data Architecture and Modeling Lead the design, development, and maintenance of scalable and high-performance data architectures and models that support both batch and streaming data processing. Define and drive the execution of a strategic Data Engineering Roadmap that unlocks the full potential of the organization's data assets, ensuring alignment with long-term business objectives. Own, enhance, and evolve critical datasets, including high-leverage streaming and batch data pipelines, along with the development of advanced data discovery, search experiences, and enterprise-wide reporting and data visualization tools. Database Processing and Management Oversee complex data extraction, transformation, and loading (ETL/ELT) processes from diverse sources, driving critical analyses, manipulating large datasets. Spearhead the administration, tuning, and optimization of database systems to ensure robust performance, reliability, and scalability, with a focus on both existing and emerging data technologies Continuous Improvement Lead efforts to identify inefficiencies and potential areas for optimization in current data engineering processes, workflows, and technologies. Drive the adoption of industry-leading best practices and cutting-edge tools to enhance operational efficiency, reduce technical debt, and scale data engineering capabilities across the organization. MLOps Implementation Develop and maintain MLOps pipelines that automate the deployment, monitoring, and management of machine learning models in production. Perform other related duties as assigned. About You BA/BS in Computer Science, Data Engineering, or a related field, or equivalent professional experience. Advanced degree preferred. 4-6 years of experience in data engineering or related roles, with a strong track record of manipulating and managing large datasets using Python, AWS, and SQL. Proven experience in designing, building, and optimizing data warehouses (Redshift) and strong expertise in data warehouse design and dimensional modeling. Extensive experience with ETL/ELT processes and tools, particularly Airflow and DBT, for orchestrating complex data pipelines. Proficiency in Infrastructure as Code tool AWS CDK for managing cloud infrastructure and automating deployments. Demonstrate ability to solve complex data challenges and deliver scalable data solutions in a fast-paced, evolving environment. Strong analytical and problem-solving skills, with a focus on optimizing data processes for performance and efficiency. Demonstrated experience in managing Google Looker. Familiarity with Circle CI / Airflow or similar tools. Benefits Comprehensive Medical, Dental and Vision plans coverage since day one Pre-tax benefits: HSA/ FSA 401k Retirement Savings Program with matching up to 3% Voluntary benefits including disability, basic life or pet insurance, etc. Monthly Wellness Stipend to promote mental and physical self-care Flexible PTO and Remote First Environment Regular team events, including Wellness Workshops and Team Building Events Free access to Talkspace products for you and one household member, as well as access to a friends and family discount! Compensation At Talkspace, we believe that pay transparency during the interview process is a critical part of diversity, equity, and inclusion. Our salary bands are based on internal and external compensation benchmarks, which we regularly evaluate to ensure we pay competitively. The base salary range for this role is between $146,000 - $180,000. Within the salary bands, leveling corresponds to each candidate’s relevant experience, skills as assessed during the interview process, education, and applicable certifications. Why Talkspace? Talkspace is the world’s leading online therapy company, serving over 2 million users looking to begin their wellness journey through tele-health. According to the World Health Organization, close to 1 billion people worldwide live with a mental disorder, and on average more than 75% with mental, neurological, and substance use disorders receive no treatment for their condition at all. Additionally, one-third of the world’s population – 2 billion people – live in countries that spend less than 1% of their health budgets on mental health. Therapy is an universal need and it's our mission here to change the world by cultivating an intentional space for people to feel supported through quality care that is simple and accessible. Combining our passion for innovation along with our desire to help others overcome the stigma behind “getting help,” we are transforming the way patients find the right care provider, making an otherwise impossible feat easily conquerable. Our network of licensed, accredited, and board-certified clinicians are increasing access to mental health for our members through a myriad of high quality therapy services: anytime and for a fraction of the price. Dedicated to our mission, we are looking for candidates that want to bring their talents into a diverse “for purpose” space. If you’re equally as passionate about making quality mental healthcare accessible to all then Talkspace is the right place for you! EQUAL OPPORTUNITY EMPLOYER Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification or if your path has been nontraditional — such as not completing a formal degree program, taking a career break, or having a prior criminal record — if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team. Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace? Diversity Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background. Equity Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care. Inclusion Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual. Belonging Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.

Requirements

Must-haves

T his position is EST-based. Talkspace is headquartered in NYC.
What You’ll Do
Data Architecture and Modeling
Lead the design, development, and maintenance of scalable and high-performance data architectures and models that support both batch and streaming data processing.
Define and drive the execution of a strategic Data Engineering Roadmap that unlocks the full potential of the organization's data assets, ensuring alignment with long-term business objectives.
Database Processing and Management
Oversee complex data extraction, transformation, and loading (ETL/ELT) processes from diverse sources, driving critical analyses, manipulating large datasets.
Spearhead the administration, tuning, and optimization of database systems to ensure robust performance, reliability, and scalability, with a focus on both existing and emerging data technologies
Continuous Improvement
Lead efforts to identify inefficiencies and potential areas for optimization in current data engineering processes, workflows, and technologies.
Drive the adoption of industry-leading best practices and cutting-edge tools to enhance operational efficiency, reduce technical debt, and scale data engineering capabilities across the organization.
MLOps Implementation
Develop and maintain MLOps pipelines that automate the deployment, monitoring, and management of machine learning models in production.
Perform other related duties as assigned.
4-6 years of experience in data engineering or related roles, with a strong track record of manipulating and managing large datasets using Python, AWS, and SQL.
Proven experience in designing, building, and optimizing data warehouses (Redshift) and strong expertise in data warehouse design and dimensional modeling.
Extensive experience with ETL/ELT processes and tools, particularly Airflow and DBT, for orchestrating complex data pipelines.
Proficiency in Infrastructure as Code tool AWS CDK for managing cloud infrastructure and automating deployments.
Demonstrate ability to solve complex data challenges and deliver scalable data solutions in a fast-paced, evolving environment.
Strong analytical and problem-solving skills, with a focus on optimizing data processes for performance and efficiency.
Demonstrated experience in managing Google Looker.
Familiarity with Circle CI / Airflow or similar tools.

Nice-to-haves

BA/BS in Computer Science, Data Engineering, or a related field, or equivalent professional experience. Advanced degree preferred.

Application prep

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Keywords to mirror

machine learningpythonawssql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Wellness