Utility Creation: Create tools to streamline the user experience for analysts, such as building automated processes to convert SQL outputs for multi-source……
What you’ll need: • Bachelor's degree in Computer Science, Engineering, or a related field • 5+ years of experience in Data Engineering • Expertise in Spark and……
Collaborate effectively with technical and executive stakeholders while mentoring engineers and leading technical decisions to elevate engineering quality.…
Lead the design and development of complex data pipelines (batch and streaming). Strong background in data pipeline engineering (batch + streaming).…
You'll manage data APIs, architect Spark-driven workflows at scale, design data platforms as products, and build the next generation of intelligent tooling……
5+ years of experience in data engineering or platform/infrastructure engineering. An Oura Ring of your own plus employee discounts for friends & family.…
Strong analytical and root-cause analysis skills for production data issues; ability to read complex real-world data and reason about what the right answer……
Architect, design, develop, and implement enterprise information systems and operational solutions. Design technical solutions for complex business problems and……
In this role, you will develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and……
Deep experience with modern data stack tools, including data integration tools (e.g., Fivetran, Airbyte), transformation frameworks (e.g., dbt), and modern data……
Bachelor's degree in Computer Science, Computer Engineering or related field, may be substituted with work experience. Experience utilizing CI/CD Pipelines.…
Serve as a key resource in client‑facing consulting, driving customer engagement, influencing technical solutions for clients, and presenting complex……
The Senior Data Engineer drives towards programmatic pipeline generation and orchestration to enhance repeatability and rapid deployment, using Databricks,……
Design, develop, and maintain data ingestion pipelines for real-world data (RWD) sources. Provide technical guidance, coding standards, and best practices.…
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows. Develop and Maintain Data Warehouse.…
Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data. 5+ years of professional experience.…
Demonstrated experience managing and participating in complex, cross-functional projects and driving technical innovation. 401K with a match of up to 4%.…
Support business intelligence tools like Looker by creating dashboards and reports that translate technical data into clear visualizations for stakeholders.…
Software Product Technical Knowledge: Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of……
At least 5-7 years of relevant experience in the development and field of data engineering. Support engineering domain to craft, develop, and implement……
401(k) with robust matching and non-matching contributions. Location: 1130 Sanctuary Parkway, Alpharetta, GA 30009; Must live within reasonable commuting……
Bachelor’s degree in computer science or related field, or the equivalent combination of education, training, and experience. 2026 Handshake Early Talent Award.…
As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers,……
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Key Responsibilities Design & Development: Lead the design and development of custom AWS utilities that allow analysts to query disparate data sources (S3 and Redshift) with minimal effort and high productivity. Pipeline Engineering: Build and maintain scalable data pipelines using AWS Glue, PySpark, and Spark SQL to ingest and transform data across platforms. Resiliency & Scalability: Apply an "enterprise-grade" development mindset. Build solutions that are resilient, scalable, and capable of quick automated recovery in the event of failure. Utility Creation: Create tools to streamline the user experience for analysts, such as building automated processes to convert SQL outputs for multi-source tables. Infrastructure Ops: Utilize CloudFormation to manage and deploy infrastructure components. Required Technical Skills AWS Core: Deep proficiency in AWS Glue, S3, Lambda, IAM, and Step Functions. Data Engineering: Expert-level knowledge of PySpark and Spark SQL. Querying & SQL: Extensive experience with Athena and Presto; strong SQL skills for complex data manipulation. Infrastructure as Code: Proven experience with CloudFormation for operational excellence. Development Mindset: Ability to write clean, maintainable code for automation and custom utility development. Dremio: Experience with Dremio implementation (reflections, views, using system tables). Required Qualifications 6-8+ years of Data Engineering or IT experience. 4+ years of AWS cloud development experience. Expert Python programming skills. Advanced SQL development experience. Strong hands-on experience with Apache Spark / PySpark. Experience building cloud-native ETL pipelines. Strong understanding of distributed computing. Experience designing scalable data models. Experience with Git and CI/CD pipelines. Strong analytical and problem-solving skills. Build scalable and auto recoverable pipelines. Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline. Nice to Have Tableau: Familiarity with Tableau for end-user data consumption.
The minimum salary is $107K and the max salary is $147K.
$107K – $147K/yr (Glassdoor est.)
$125K
/yr Median
Malvern, PA
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