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Senior Data Engineer
- Springfield, Missouri, United States
- Springfield, Missouri, United States
À propos
What you will do
Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake.
Drive the creation of a secure, compliant, and privacy‑focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements.
Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics.
Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation.
Support peers and champion a culture that values data as a strategic asset across the organization.
What you will bring
4+ years of proven success designing and implementing large‑scale data systems.
Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic).
Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques.
Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake.
Demonstrated expertise in architectural patterns for building high‑volume ETL pipelines.
Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation.
Exceptional oral and written communication abilities, facilitating effective cross‑functional collaboration.
BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Skills
Experience in deployment and infrastructure management using Terraform is a plus.
Prior experience implementing governance, privacy, and security frameworks across a data platform.
Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data.
Experience migrating or working with DBT for transformations, documentation, and lineage tracking.
Experience in developing AI‑ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement.
Location We are currently hiring this role in the US. Candidates must permanently reside in the US full‑time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in‑office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model.
Pay & Benefits The anticipated new hire base salary range for this full‑time position is
$122,400-$195,500
plus equity and benefits.
Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job‑related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process.
At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.
EEO & Accommodations As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.
Headspace participates in the E‑Verify Program.
Privacy Statement All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client‑therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.
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Compétences linguistiques
- English
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