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Staff Data Engineer responsible for setting technical direction, architecting scalable data platforms, leading cross-functional initiatives, improving reliability and performance, and enabling AI-assisted analytics and development. The role includes hands-on development with Python, SQL, cloud data warehouses, orchestration, infrastructure as code, Kubernetes, Kafka, and streaming pipelines, along with mentoring, technical advocacy, documentation, code reviews, and on-call troubleshooting.
Top Skills:
Ai-Assisted Software DevelopmentAirflowAWSAzureBigQueryCloud Data WarehousingDockerGCPInfrastructure As CodeKafkaKubernetesPythonSnowflakeSQLStreaming Data PipelinesTerraform
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Lead Cohere’s Data Foundation pillar, managing a team responsible for the full data lifecycle. Own the roadmap, BigQuery warehouse, Airflow and Cloud Run orchestration, dbt modeling, Looker and API serving, Terraform infrastructure, governance, access controls, reliability, incident response, and data freshness SLAs. Lead development of an agentic analytics platform and evaluation framework, establish company-wide analytics standards, and partner with product, engineering, security, legal, and business teams.
Top Skills:
AirflowBigQueryCloud RunDbtIamLookerPythonTerraformVpc Service Controls
Financial Services
Leads the architecture and evolution of scalable data platforms, pipelines, and data products across multiple teams. Designs Snowflake and cloud-based solutions for batch, streaming, CDC, ingestion, transformation, orchestration, and data delivery. Establishes engineering standards, governance, observability, testing, CI/CD, and reliability practices; mentors engineers; guides architecture and roadmap decisions; resolves complex incidents; and evaluates AI, automation, and MCP-enabled data capabilities.
Top Skills:
Apache AirflowSparkAPIsAWSCdcCi/CdDebeziumJavaKafkaMcpPysparkPythonSftpSnowflake
Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind.
We know we couldn’t take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud.
We’re seeking an exceptional Staff Data Engineer to help us take our data platform to the next level. This is a high-impact role where you’ll architect and build scalable data infrastructure, empower data-driven decision-making, and help shape the future of fraud prevention. We’re scaling fast, and you’ll have the chance to shape the future of our data platform.
You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality, actionable data insights to enable business outcomes.
What You Will Do
- Design and build robust, scalable, secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning.
- Lead data architecture decisions, ensuring high performance, reliability, and maintainability across our platform.
- Collaborate cross-functionally with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence.
- Champion data quality and governance, implementing best practices for data validation, lineage, and observability.
- Mentor and guide other data engineers, fostering a culture of technical excellence and continuous learning.
What We’re Looking For
- Proven experience as a staff-level data engineer in a fast-paced, product-driven environment. Engineering experience of 8+ years.
- Experience in leading teams of other engineers to build a long-term technical vision and plans to achieve it.
- Deep expertise in cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).Strong programming skills in Python or Scala, and proficiency with SQL.
- Experience with real-time data processing (e.g., Kafka, Spark Streaming) and data modeling for analytics and ML.
- A growth mindset, strong ownership, and a passion for solving complex problems that matter.
Preferred Experience
- Experience in fintech, cybersecurity, or fraud prevention.
- Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).
- Contributions to open-source data tools or communities.
What We Offer
- Flexible vacation
- 12 company-paid holidays
- 10 paid sick days
- No work on your birthday
- Health, dental, and vision Insurance (including a $0 option)
- 401(k) with matching, and no waiting period
- Equity
- Life insurance
- Generous parental paid leave
- Wellness reimbursement of $300/year
- Remote worker reimbursement of $300/year
- Professional development reimbursement
- Competitive pay
- An award-winning culture
Not sure if you check all the boxes? Apply anyway!
We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we’d love to hear from you. We’re looking for people who are eager to learn, adapt, and solve challenges—so if that sounds like you, don’t let a checklist hold you back!
Change doesn't happen overnight, and the same goes for us here at CertifID. We PROGRESS collectively and individually as we grow, abiding by our core values. Protect the Customer, Raise the Bar, Operate with Urgency, Grow with Grit, Ride the Wave, Enthusiasm Spreads, Stay Connected, Send It.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
