Job Closed

This listing is no longer active.

Consumer Edge logo
Consumer Edge

Consumer Edge (CE) is an IT consulting and services company that delivers data solutions and insights that are targeted toward the global consumer. As an employer, the company is k

VP Data Engineering

Location

California + 19 moreAll locations: California | Colorado | Connecticut | Florida | Idaho | Illinois | Louisiana | New Jersey | New York | North Carolina | Maryland | Massachusetts | Pennsylvania | Rhode Island | Tennessee | Texas | Utah | Virginia | Washington | Wisconsin

Posted

61 days ago

Salary

$270K - $300K / year

Seniority

Lead

Bachelor Degree10 yrs expEnglishAirflowBigQueryETLGCPPythonSQLTerraform

Job Description

VP Data Engineering

Consumer Edge

• Lead, mentor, and grow a team of data engineers, building a culture of ownership, craft, and continuous improvement • Own hiring, onboarding, and performance management for the data engineering function • Act as a technical role model — setting high standards while remaining approachable and supportive • Own the architecture, reliability, and evolution of our GCP data platform — including BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, and GCS • Design and maintain robust, scalable pipelines for ingesting, transforming, and serving diverse alternative datasets (web, CPG, transaction data, etc.) • Drive infrastructure best practices: cost optimisation, observability, incident response, and disaster recovery • Ensure data security, access controls, and compliance standards appropriate for regulated financial services clients • Translate business priorities and client requirements into a clear, deliverable technical roadmap • Partner with data operations, data science, and product teams to accelerate dataset onboarding and expand platform capabilities • Represent data engineering at the leadership level — contributing to company strategy and advocating for data quality as a core business value

Job Requirements

  • 10+ years in data engineering, with at least 3 years in a leadership or management role (managing managers and teams)
  • Proven experience building and operating large-scale data pipelines on Google Cloud Platform
  • Experience in fintech, alternative data, financial data, or another data-as-a-product environment strongly preferred
  • Track record of delivering high-quality data infrastructure in a fast-moving, commercially sensitive context
  • Deep expertise across the GCP data stack: BigQuery, Dataflow, Pub/Sub, GCS, Cloud Composer, and related services
  • Hands-on experience with dbt (Core or Cloud) for scalable transformation layer design, including modeling patterns, testing frameworks, and documentation standards
  • Strong understanding of data pipeline design, ELT/ETL patterns, data modelling, and workflow orchestration
  • Solid grasp of data governance, quality frameworks, and security best practices
  • Familiarity with the unique challenges of alternative data — diverse formats, inconsistent schemas, high ingestion volumes, and strict data provenance requirements
  • Practical experience with infrastructure-as-code tooling (Terraform and/or Pulumi) for provisioning and managing cloud resources; able to set IaC standards and review infrastructure changes with the same rigour applied to application code
  • Strong proficiency in Python and SQL; comfortable reviewing code and setting engineering standards across the team.

Benefits

  • Competitive salary
  • 401(k) match
  • Paid parental leave
  • Flexible and generous time off
  • Work-from-home flexibility
  • Vibrant work environment conducive to professional growth and innovation

Related Categories

Related Job Pages

More Data Engineer Jobs

Chartbeat logo

Data Engineering Internship

Chartbeat

Chartbeat is a privately-held technology startup whose content intelligence platform offers publishers tools to build audiences across multiple digital formats. Launched in 2009, t

Data Engineer61 days ago

• Work with core engineering team responsible for building, scaling, and maintaining data systems • Participate in team meetings, demos, tech talks, discussions, and learning/teaching opportunities • Collaborate within a small cross-functional scrum team

United States

Role Description We are looking for a Data Engineer Intern who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications. - Design and build advanced applications for the iOS platform - Collaborate with cross-functional teams to define, design, and ship new features - Unit-test code for robustness, including edge cases, usability, and general reliability - Work on bug fixing and improving application performance - Continuously discover, evaluate, and implement new technologies to maximize development efficiency Qualifications - Must be enrolled in a BS/MS/PhD program in Computer Science, Engineering, or a related subject at an accredited college - Experience in Data Engineering and expertise in the development of mobile technologies - Familiarity with relevant frameworks and languages - Strong work ethic and conviction to work in a demanding startup environment - Experience with third-party libraries and APIs - Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies - Solid understanding of the full mobile development life cycle Requirements - Compensation: $15-$20 / hr depending on location, previous work experience and qualifications - Minimum Hours: 30-40 hours/week - We are only considering US citizens and Permanent Residents for the role - This is a temporary position between June and August

United States
$15 - $20 / year
Job Closed
SmithRx logo

Staff Data Engineer

SmithRx

SmithRx is a tech-forward PBM committed to changing the way pharmacy benefits are managed.

Data Engineer61 days ago
Full TimeRemoteTeam 51-200Since 2018H1B No Sponsor

• Build Resilient Systems: Design flexible, difficult-to-misuse software components and data pipelines. Reduce complex designs into simple foundational components to proactively avoid scaling issues and lower maintenance costs. • Manage Cross-Boundary Integrations: Create coherent ecosystem designs across multiple pipelines and API boundaries. Ensure reliable feature rollouts with appropriate monitoring, paging, and well-characterized failure domains. • Improve Developer Efficiency: Continuously look for ways to simplify code and infrastructure. Implement solutions that measurably improve developer efficiency (e.g., cycle time, ramp-up time) for your team. • Drive Large-Scale Projects: Autonomously define and deliver technical roadmaps for larger projects with cross-team dependencies. Execute against tight deadlines while preemptively identifying and resolving technical risks. • Unblock the Team: Assess and eliminate the root causes of technical and process barriers. Own your decisions and mistakes, taking action to prevent them in the future and sharing learnings widely. • Align Technical Output with Business Value: Partner with your manager to define team priorities based on SmithRx’s business strategy. Design clear success metrics for systems and achieve them consistently post-launch. • Cross-Functional Collaboration: Break down silos within and across functions. Write crisp narratives to create understanding, get buy-in, and enable effective decision-making among stakeholders. • Navigate Ambiguity: Act thoughtfully in critical situations. Balance conflicting perspectives, encourage productive debate, and commit to moving key company priorities forward even when making unpopular decisions. • Mentor & Develop Talent: Serve as a role model and technical guide for less-experienced team members (SDE1/SDE2), tailoring your coaching and feedback to their specific skills and working styles. • Champion Culture & Hiring: Actively participate in the hiring process for senior candidates and managers (interviews, debriefs, 1:1 sell chats). Foster psychological safety, encourage a growth mindset, and consistently personify SmithRx’s core values.

United States
SmithRx logo

Senior Staff Data Engineer

SmithRx

SmithRx is a tech-forward PBM committed to changing the way pharmacy benefits are managed.

Data Engineer61 days ago
Full TimeRemoteTeam 51-200Since 2018H1B No Sponsor

• Define Technical Vision: Define the long-term data engineering strategy, factoring in company-wide priorities, customer needs, and system limitations. • Design Ecosystems: Create coherent designs across multiple pipelines and API boundaries. Reduce complex concepts to foundational components and simplify infrastructure to lower maintenance costs. • Drive Engineering Excellence: Make high-impact technical choices—including "build vs. buy" and framework selections—and provide clear rationale to rally the team. Review cross-team designs to preemptively identify and resolve technical risks before they jeopardize projects. • Improve Developer Efficiency: Implement solutions that measurably improve developer efficiency (e.g., cycle time, ramp-up time) and establish engineering-wide quality and best practices. • Deliver at Scale: Roll out major features and systems reliably, ensuring appropriate monitoring, failure domain characterization, and clear success metrics are established post-launch. • Align with Business Goals: Leverage a deep understanding of SmithRx’s business strategy to identify group-wide opportunities. Proactively refocus team efforts when projects are off-course or not moving the needle for the business. • Manage Data Quality & Governance: Enforce data governance policies (PII/PHI protection, security, compliance) and implement data quality principles to raise the bar for the reliability of data shared internally and externally. • Influence Cross-Functionally: Influence the roadmaps of other SmithRx teams. Act thoughtfully and decisively in critical situations, seeking diverse perspectives but ultimately leading decision-making (disagree and commit) to move priorities forward. • Mentor and Develop: Serve as a role model and coach for SDE2/SDE3 engineers, taking into account their unique skills and providing constructive feedback to maximize their impact. • Executive Communication: Develop focused messaging and effectively present technical strategies and business cases at the executive level. • Champion Organizational Change: Break down silos, build deep cross-functional relationships, and create excitement to drive the adoption of new technologies or processes across the organization.

United States