- Bring extensive experience with data modeling, data foundations, and code review/cleanup
- Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits
- Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
- Support existing processes running in production and implement optimized solutions with limited guidance
- Strong technical skills
- An obsession with user experience
- A collaborative team player mentality
- Creative problem-solving abilities
- A proactive sense of curiosity
- Bachelor's Degree preferred, or equivalent combination of education, training, and experience.
- 5+ years of professional experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
- 4+ years of professional experience with frameworks like Airflow, Mage AI
- 3+ years of professional experience with Enterprise Domains Like HR, Finance, Supply Chain
- 5+ years of professional experience with the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
- Professional fluency in English required
- Flexible Paid Leave after 90 days of employment
- Up to 100% employer-paid health/dental/vision insurance for employees (eligible 1st of month after date of hire)
- 401(k) plan with match up to 4%
- 100% employer-paid parental leave up to 16 weeks after one year of employment
- Up to $1,200 annual Learning & Development stipend
- Up to $1,200 annual Health & Wellness stipend
- $300 work from home stipend upon hire & every three years thereafter
- Employee referral bonus program
- 12 paid holidays annually
- Free meals and snacks onsite (unless working remotely)
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Data Engineer-onsite- Austin, TX office - Other US Location, United States - Applied Value Technologies
3 weeks ago
Description
Location: Austin, TX- on-site M-F
Salary: $100,000 - $120,000 annually + 10% bonus, DOE
***This position is fully onsite and not eligible for relocation assistance***
About the Role:
Applied Value Technologies is seeking a Data Engineer to assist in the delivery of our mission- and business-critical application services with internal customers. As a Data Engineer, you will be responsible for building industry-leading, highly intuitive software products that underpin business functions across our client's Supply Chain, Finance, Compliance, Sales, Marketing, E-commerce and Security areas.
Our client is a Fortune 100 technology company, providing platforms that help connect people around the world. One of the core values is to scale the business by putting people first, and the Enterprise Products team is uniquely positioned to propel this work to the next level as the customer's needs act as the guiding compass, not the technology's limitations
About you:
We are looking for someone to:
Other Skills Needed:
Minimum Qualifications:
More about AVT:
Applied Value Technologies is an early-stage, mission-driven venture revolutionizing the way companies view IT productivity. We help our customers scale with next-generation application support services that accelerate user productivity through enhanced automation and a highly personalized user experience. Our goal is to be a trusted partner, collaborating with customers to design and implement user-centric, technology-enabled support solutions at scale.
Benefits for Full-time Employees:
Applied Value is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Hiring is contingent on candidate verifying their eligibility to work in the United States and passing a complete background check.
