Git

Git Data Jobs

3 jobs found

9d ago

Data Engineer

Crumbl Provo, UT

Provo, UT

9d ago

Full time Cloud Cloud Platform Data Architecture

Apply Now

Job Description

On-site opportunity in Provo, Utah with Crumbl, offering a collaborative, growth-oriented culture where data informs every decision. This role sits at the headquarters and provides ample room for career advancement within a hyper-growth environment, all while working with modern tooling and a team that values data quality and security.

Responsibilities

Design, build, and maintain scalable data pipelines using ELT/ETL methods to securely extract, load, and process data across sources.
Partner with data scientists, analysts, and stakeholders to translate data needs into reliable, high-quality data assets.
Create and sustain thorough documentation, including data dictionaries, workflow diagrams, and data flow diagrams.
Protect data integrity and security by implementing appropriate controls and continuous monitoring.
Optimize pipelines for performance and efficiency, tuning for faster queries on large datasets.
Implement data security policies and procedures, covering access controls, encryption, and data masking.
Design and implement data processing workflows with dbt and Prefect to support data science and machine learning use cases.
Develop and maintain ingestion processes to bring external data into the organization’s data environment.
Identify performance bottlenecks and collaborate with infrastructure and operations teams to optimize system performance.
Test and validate data pipelines to ensure they meet business requirements and operate reliably.
Participate in code reviews and contribute to data engineering best practices.
Stay current with emerging data engineering and data science technologies to identify practical opportunities for adoption.

Requirements

Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field.
Minimum of 3 years building and maintaining production data pipelines, or equivalent experience with a related degree.
Advanced SQL skills, including window functions, CTEs, and performance tuning on large datasets.
Strong Python for data engineering with modular, testable pipeline code.
Hands-on dbt experience covering models, tests, macros, and incremental materializations.
Production Snowflake experience focusing on schema design, performance tuning, and warehouse/cost optimization.
Experience with AWS data services such as S3, Glue, and Lambda.
Data quality and observability using dbt and Elementary.
Infrastructure as code using Terraform and version control with Git.
Dimensional modeling concepts (star/snowflake schemas, SCDs) and lakehouse ideas.
Strong problem-solving abilities and clear communication with analysts, scientists, and stakeholders.

Technologies

dbt
Prefect
SQL
Python
Snowflake
AWS S3
AWS Glue
AWS Lambda
Terraform
Git
Elementary

Benefits

Medical, dental, and vision coverage
15 days of paid time off per year
10 paid holidays
Paid parental leave
Personal cell phone bill reimbursement
Gym reimbursement
Corporate DoorDash DashPass membership
Regular company and team activities
401(k) with competitive matching
Strong opportunities for career growth
Work within a hyper-growth company

View full job page →

10d ago

Pyspark/Python Data Engineer

Tata Consultancy Services Irving, TX

Irving, TX

10d ago

$100k - $120k/yr Full time Python Amazon Web Services Apache Airflow

Apply Now

Job Description

This role focuses on designing, building, and optimizing scalable PySpark data pipelines for Tata Consultancy Services in Irving, TX.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines using PySpark
Craft efficient PySpark transformations with DataFrames and Spark SQL
Create modular, reusable Python-based data processing components
Uphold data quality, integrity, and performance across pipelines
Debug, tune performance, and optimize PySpark jobs
Collaborate with cross functional teams including Data Analysts, Architects, and DevOps
Contribute to CI/CD pipelines and deployment workflows for data applications
Monitor and troubleshoot production data workloads

Requirements

Hands-on PySpark experience with Spark SQL and DataFrame API
Advanced Python skills for data processing, performance tuning, and modular coding
Solid understanding of ETL design patterns and data pipeline architecture
Working knowledge of SQL for data transformation and analysis
Experience with data processing in distributed environments
3 to 8 years of experience in Data Engineering or PySpark development
Proven hands-on project experience using PySpark and Python
Bachelor of Computer Science

Must Have Technical / Functional Skills

Strong hands-on experience in PySpark and Python for designing scalable data processing pipelines
Practical knowledge of distributed data processing and production-grade Python coding

Technologies

PySpark, Spark SQL, DataFrame API
Python, SQL
Amazon S3, AWS Glue, AWS EMR
Airflow, Snowflake, Git

Experience

3–8 years of experience in Data Engineering or PySpark development
Proven hands-on project experience in PySpark and Python

Job Details

Salary: USD 100,000 – 120,000 per year
Location: Irving, TX (onsite)
Job Function: TECHNOLOGY
Role: Engineer
Job ID: 416300
Education: Bachelor of Computer Science

View full job page →

16d ago

Databricks Data Engineer

Deloitte McLean, VA

McLean, VA

16d ago

$87k - $171k/yr Full time Azure Azure Databricks Big Data

Apply Now

Job Description

Deloitte seeks a Databricks Data Engineer to design, build, and optimize cloud-based data platforms for large-scale analytics and AI initiatives in an onsite role in McLean, VA, with a salary range of USD 86,700 to 170,900 per year.

Responsibilities

Architect and implement data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
Support modernization of enterprise data platforms by deploying cloud-centric ingestion, transformation, and storage patterns.
Develop and sustain batch and streaming data workflows to power reporting, analytics, and AI use cases.
Apply data architecture, integration, and modeling practices to improve data quality, scalability, and platform performance.
Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and support the delivery of large-scale data transformation programs.
Lead projects or workstreams and coordinate across teams to meet objectives.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
3+ years of experience in data engineering, ETL development, or data platform engineering.
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL.
Experience implementing data models, data integration patterns, and cloud-based data processing workflows.
Experience with at least one cloud platform: AWS, Azure, or GCP.
Ability to travel approximately 50 percent based on client engagements and industries served.
Limited immigration sponsorship may be available.
Minimum 2 years of overall experience.
Ability to work independently as well as in a team environment.
Effective written and verbal communication skills.
Meticulous attention to detail and commitment to quality.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines and provide clear guidance to others.

Technologies

Databricks
Apache Spark
Python
SQL
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Delta Lake
Databricks Workflows
Unity Catalog
Git
CI/CD pipelines

Preferred qualifications

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

View full job page →

Git Data Jobs

Data Engineer

Pyspark/Python Data Engineer

Databricks Data Engineer

Get Git Data Jobs alerts