Transform and build robust solutions for transferring data from first and third-party applications to and from our data warehouse
Envision and design toward industry patterns on data exchange with our enterprise clients through a mix of traditional push delivery, cloud, and event-driven (eg: API, grpc) data sharing methods.
Support implementation and data integration as new partners roll onto the Bestow platform, and recommend improvements on configurability of platform.
Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration.
Champion test-first design principles, proactively writing tests before code to maintain high coverage and pipeline reliability.
Develop hardened and repeatable (CI/CD) data models and pipelines to enable reporting, modeling and machine learning.
Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation.
Leverage Google Cloud (GCP) tools (eg: Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (eg: Astronomer - Apache Airflow) to bring data workloads to production.
Drive and support MLOps to improve Data Science monitoring and governance
Enable and support Generative AI (eg: LLM) pipelines, allowing internal teams to quickly prototype. Support the architecture and rollout of GenAI products and features into the marketplace.
Collaborate with product, engineering, stakeholders and data teams to deliver informed solutions to platform and client needs

Requirements

6+ years working in a data engineering role supporting incoming/outgoing products for internal and external customers.
4+ years demonstrated expertise in designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders.
4+ years of Python experience writing efficient, testable, and readable code
2+ years of experience in building streaming data ingestion pipelines
1+ year of ML (Machine Learning) support and implementation or MLOps.
Advanced SQL expertise with columnar databases (BigQuery, Snowflake, Amazon Redshift) and performance tuning.
Demonstrated experience with AI Coding assistants – AI tools are heavily engrained in Bestow culture.
Cloud Native: Deep experience with cloud services (GCP preferred: Cloud Run, Pub/Sub, BigQuery) and containerization (Docker/Kubernetes).
Demonstrated experience with AI Coding assistants – AI tools are heavily engrained in Bestow culture.
Orchestration: Expert-level knowledge of Apache Airflow (DAG optimization, custom operators).
Experience building CICD pipelines for data processing using tools such as Docker, CircleCI, dbt, git, etc
Infrastructure as Code: Proven experience managing infrastructure using Terraform or Pulumi.
Experience with creating alerts and monitoring pipelines which contribute to overall data governance.
Familiarity with standard IT security practices such as identity and access management (IAM), data protection, encryption, certificate, and key management.
Adaptability to learn new technologies and products as the job demands.
Nice to have: Familiarity with building tools that draw upon Generative AI (GenAI) integrations (Enterprise-grade, not simply vibe-coded).
Nice to have: experience with data contracts, data lakes, and API development

Benefits

Competitive salary and equity based on role
Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
100% paid-premium option for medical, dental, and vision insurance
Lifestyle stipend to support your physical, emotional, and financial wellbeing
Flexible work-from-home policy and open to remote
Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
Employee-led diversity, equity, and inclusion initiatives

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringend-to-end data pipelinePythonstreaming data ingestionMachine LearningSQLApache AirflowCICD pipelinesInfrastructure as Codedata governance

Soft Skills

collaborationdecision makingadaptabilitytest-first designproactive communication