Overview
On Site
Contract - W2
Skills
IaaS
Business analytics
Decision support
Engineering management
Decision-making
Microsoft Power BI
Data Analysis
Amazon S3
Data quality
Computer science
Data Science
Machine Learning (ML)
Customer service
Training and development
Data
SaaS
Commerce
Operations
Optimization
Design
Collaboration
Management
Python
SQL
Cloud computing
Extract
transform
load
Transformation
Algorithms
Amazon Web Services
RDBMS
NumPy
Pandas
Amazon Redshift
Continuous integration
Continuous delivery
Communication
Presentations
Talend
Machine Learning Operations (ML Ops)
Training
MEAN stack
Job Details
Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer for a Contract assignment with one of our premier SaaS clients in Austin, TX. This role is also open to fully remote, with CST working hours preferred.
Our Commerce Engineering Operations is building next-generation business analytics and decision support capabilities to enable modern, data-driven engineering management and business optimization. Being data-driven is central to who we are and how we operate. We are looking for someone who deeply appreciates the power of answering business questions with data, who loves to design data to solve problems, and who loves to automate things to create game-changing insights that drive quick, informed decision-making.
Responsibilities :
Required Skills:
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
EEO Employer: Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status.
Our Commerce Engineering Operations is building next-generation business analytics and decision support capabilities to enable modern, data-driven engineering management and business optimization. Being data-driven is central to who we are and how we operate. We are looking for someone who deeply appreciates the power of answering business questions with data, who loves to design data to solve problems, and who loves to automate things to create game-changing insights that drive quick, informed decision-making.
Responsibilities :
- Build collaborative relationships to solve problems with data.
- Acquire operational domain knowledge through collaboration with management and engineering teams.
- Build data solutions in Python, SQL, and Cloud-Native ETL tools to answer business questions.
- Analyze data sources to implement data preprocessing and transformation/aggregation algorithms in Python.
- Perform feature engineering to answer breakthrough business and operational questions.
- Build visualizations in Power BI and AWS QuickSight.
- Document and present ongoing work and data insight to business stakeholders.
Required Skills:
- 5+ years of professional experience in the development, and operations of ETL and data analytics applications.
- 5+ years of experience building RDBMS (SQL) solutions.
- 3+ years of experience doing exploratory data analysis in Python (NumPy, Pandas).
- 3+ years of experience with AWS technologies (S3, Redshift, Glue, Lambda).
- Experience building ETL data pipelines, data quality checks, and data anomaly detection and notification systems.
- Experience working with CI/CD technologies and cloud infrastructure services.
- Must be highly effective in written and verbal communication and be comfortable presenting problems and solution hypotheses.
- Undergraduate degree in Computer Science, Data Science, a related technical field or comparable work experience.
- Talend experience.
- MLOps experience building, training, running, and managing machine learning models in production.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
EEO Employer: Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status.