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Senior Staff Data Engineer

🔥 14 hours ago

🏈 Alabama, Alaska, +45 more states – Remote

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💵 $178.5k - $252k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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Logo of SmithRx

SmithRx

51 - 200 employees

Founded 2018

💼 Consulting

🛡️ Insurance

🏥 Healthcare

💰 $20M Series B on 2022-03

Consulting • Insurance • Healthcare

SmithRx is a transparent, pass-through pharmacy benefits manager (PBM) that operates independently from insurance companies and pharmacies to align its incentives with self-insured employers and their members. By leveraging modern technology, SmithRx aims to reduce the cost and complexity of pharmacy benefits, ensuring the delivery of effective and low-cost drugs. The company is dedicated to transforming the pharmacy benefits landscape through its flat-rate, transparent pricing model and innovative cost savings programs, which connect members to the lowest cost drugs without the use of spread pricing, rebates, or other tactics. SmithRx's commitment to transparency and superior customer service results in significant savings for employers and a highly satisfactory experience for its members.

📋 Description

• Define the long-term data engineering strategy aligned with company priorities and engineering best practices • Design coherent architectures across multiple pipelines and API boundaries • Simplify infrastructure and reduce maintenance costs • Make high-impact build-versus-buy and framework-selection decisions • Review designs to identify and resolve technical risks • Improve developer efficiency and establish engineering-wide quality practices • Roll out major features and systems with monitoring, failure-domain characterization, and success metrics • Identify group-wide opportunities aligned with business strategy • Refocus team efforts when projects are off-course or not producing business impact • Enforce PII/PHI protection, security, compliance, data governance, and data quality principles • Influence other teams' roadmaps and lead cross-functional decision-making • Mentor and coach engineers • Present technical strategies and business cases to executives • Break down silos and drive adoption of new technologies and processes

🎯 Requirements

• 8+ years of industrial experience in data engineering with an advanced degree, or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field • Start-up and healthcare experience is highly desirable • Mastery of data modeling concepts, database design principles, and data warehouse technologies such as Snowflake through production-grade implementations • Strong skills in PySpark, SQL, and Python • Hands-on experience with ETL tools and frameworks such as Apache Spark, Apache Airflow, dbt, Looker, and Superset • In-depth experience managing the entire data lifecycle • Direct responsibility for developing, implementing, and production-releasing complex data processing solutions utilizing distributed systems • Experience with modern object-oriented or compiled languages such as C#, C++, Go, Java, or Scala is a plus • Proven track record of organization-wide engineering decision-making in ambiguous environments

🏖️ Benefits

• Medical, Pharmacy, Dental, Vision, and Life Insurance • AD&D Insurance • Flexible Spending Benefits • 401(k) Retirement Savings Program • Short-term and long-term disability • Discretionary Paid Time Off • 12 Paid Company Holidays • Wellness Benefits • Commuter Benefits • Paid Parental Leave benefits • Employee Assistance Program (EAP) • Well-stocked kitchen in office locations • Professional development and training opportunities • Mental health support • Potential eligibility for bonuses, commissions, or equity

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