Data Engineer

Austin, TX, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
On-site
USD $35.85 - 35.85 per hour
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Fitment

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Job Details

Skills

  • Adobe
  • PaaS
  • SaaS
  • Leadership
  • Salesforce.com
  • Dynamics
  • Migration
  • Business Intelligence
  • Modeling
  • Data Quality
  • Management
  • Customer Relationship Management (CRM)
  • Financial Software
  • Scalability
  • Dashboard
  • Business Analysis
  • English
  • Data Engineering
  • FOCUS
  • Analytics
  • Performance Tuning
  • Finance
  • ELT
  • Workflow
  • Reporting
  • Microsoft Power BI
  • Data Warehouse
  • Database
  • Amazon Redshift
  • Snow Flake Schema
  • SQL
  • Extract
  • Transform
  • Load
  • PySpark
  • Orchestration
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Python
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

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.

Adobe Commerce is in the middle of a major business transition from PaaS to SaaS (ACCS and ACO). Leadership needs clean, reliable, and timely data to power decisions about which customers to migrate, how to protect margin, and where to focus product and engineering effort. The Data Engineer is the person who makes that possible. This role owns the Commerce data infrastructure - building and maintaining the pipelines, models, and systems that move raw data from source systems into trusted, production-grade datasets.

Responsibilities:
  • Design, build, and maintain data pipelines ingesting from Salesforce, Dynamics, Platform.sh, Snowplow, and cloud vendor sources
  • Develop and optimize ETL/ELT workflows using Python and PySpark for large-scale batch and incremental processing
  • Build and maintain data models (fact/dimension tables) for customers, deals, margin, usage, and migration data
  • Partner with Analytics and BI teams to ensure pipeline outputs meet their modeling and reporting needs
  • Ensure Data Reliability at Scale
  • Own data quality, validation, and monitoring across ingestion and transformation layers
  • Design for scalability, fault tolerance, and performance across growing data volumes
  • Build orchestration, alerting, and error-handling into pipelines to catch issues before they reach downstream consumers
  • Manage schema evolution, versioning, and backfills as source systems and business needs change
  • Enable the Business Through Solid Data Foundations
  • Translate data requirements from Analytics, Finance, Product, and Engineering into robust pipeline and schema designs
  • Ensure data is accurate, timely, and well-documented so downstream teams can trust it without re-validating it themselves
  • Support pre- and post-launch data needs for ACCS and ACO by ensuring the right raw and modeled data is available and correct
  • What Success Looks Like
    • Pipelines run reliably, on schedule, with clear alerting when something breaks
    • Downstream teams trust the data without needing to double-check it
    • New data sources and schema changes are onboarded quickly and cleanly
    • Data infrastructure scales smoothly as Commerce's data volume and complexity grow
    • Commerce operates from a single, well-engineered data foundation instead of fragmented, ad hoc pipelines
Required Skills:
  • Strong software/data engineering skills with a focus on building scalable, production-grade pipelines
  • Experience ingesting and transforming data from CRM, product, and financial systems
  • Ability to design data models and schemas that serve multiple downstream consumers
  • Comfortable working with Analytics, Finance, Product, and Engineering to understand data requirements
  • A mindset focused on reliability, scalability, and correctness - not dashboards or business analysis
  • Proficient in English (verbal/written)
  • Advanced data engineering with a strong focus on building scalable, reliable pipelines that power downstream analytics and reporting
  • Expert in data pipeline architecture, performance tuning, and designing fact and dimension tables for customer, usage, contract, and financial data
  • Hands-on experience developing Python and PySpark ETL/ELT workflows for large-scale data ingestion, transformation, and validation
  • Hands-on experience with building PowerBI reports
  • Technical capabilities:
    • Reporting: PowerBI experience
    • Data Warehousing & Databases: Amazon Redshift, Snowflake, SQL-based data stores
    • ETL & Data Pipelines: AWS Glue, PySpark, Python-based batch and incremental pipelines, orchestration tools
    • Cloud Platforms: AWS, Azure, Google Cloud Platform
    • Programming & Query Languages: Python, PySpar


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 .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sgainc
  • Position Id: 26-02047
  • Posted 8 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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