Staff Data Engineer
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Product, BiotechnologyIndustries
Databricks Engineer
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: Competitive (Not specified)
ShyftLabs is seeking a skilled Databricks Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Responsibilities
- Design, implement, and optimize big data pipelines in Databricks.
- Develop scalable ETL workflows to process large datasets.
- Leverage Apache Spark for distributed data processing and real-time analytics.
- Implement data governance, security policies, and compliance standards.
- Optimize data lakehouse architectures for performance and cost-efficiency.
- Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.
- Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
- Automate workflows using CI/CD pipelines and infrastructure-as-code practices.
- Ensure data integrity, quality, and reliability in all pipelines.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of hands-on experience with Databricks and Apache Spark.
- Proficiency in SQL, Python, or Scala for data processing and analysis.
- Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.
- Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.
- Experience with CI/CD tools and DevOps best practices.
- Familiarity with data security, compliance, and governance best practices.
- Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.
Preferred Qualifications
- Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).
- Hands-on experience with MLflow, Feature Store, or Databricks SQL.
- Exposure to Kubernetes, Docker, and Terraform.
- Experience with streaming data architectures (Kafka, Kinesis, etc.).
- Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).
- Prior experience working with retail, e-commerce, or ad-tech data platforms.
Company Information
- Founded: Early 2020
- Industry: Data Product Company
- Clients: Primarily Fortune 500 companies
- Benefits: Competitive salary and a strong insurance package. Extensive learning and development resources.
Skills
Databricks
Apache Spark
SQL
Python
Scala
AWS
Azure
GCP
ETL
Data Lakes
Delta Lake
CI/CD
DevOps
Data Pipelines
Data Governance
Data Quality
AI/ML
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees