4 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Data & Software Engineer (AI)
75Β 000 - 93Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data & Software Engineer (AI) (SQL/Python): Building and maintaining scalable software and data solutions for enterprise media measurement and optimization with an accent on ETL/ELT pipelines, cloud platforms, and AI-enabled analytics. Focus on designing reliable data workflows, integrating AI/ML APIs and retrieval technologies, and applying testing, documentation, and DevOps practices across the software development lifecycle.
Location: Minneapolis, United States
Salary: $75,000β$93,000 annually, inclusive of a 15% bonus
Company
is an independent media, measurement, and creative firm developing the EMRge proprietary marketing technology platform for holistic media measurement and optimization.
What you will do
- Design, develop, test, deploy, optimize, and maintain scalable software and data solutions.
- Build and support ETL/ELT pipelines and solutions for large datasets, analytics, and AI use cases.
- Translate business goals and user requirements into actionable technical requirements with cross-functional stakeholders.
- Identify automation opportunities and support operational stability, troubleshooting, and system performance.
- Produce software designs, evaluation plans, test results, technical manuals, documentation, and recommendations.
- Use AI-assisted development tools while maintaining code quality, security, testing, and review standards.
Requirements
- 3+ years of relevant data and software engineering development experience.
- Proficiency in SQL, Python, command-line tools, and ETL/ELT pipelines for large datasets.
- Familiarity with cloud platforms such as GCP or AWS and modern AI concepts and tools, including AI/ML APIs, vector databases, embeddings, and retrieval.
- Strong attention to detail and written and verbal communication skills.
- Experience sharing technical knowledge and collaborating throughout the software development lifecycle.
- Ability to follow software engineering, SDLC, DevOps, testing, documentation, and security best practices.
Nice to have
- Experience with Agile, iterative development, SAFe, or similar scaled frameworks.
- Experience with OpenAI, HuggingFace, LangChain, BigQuery, Databricks, or similar tools.
- Experience building internal tools, agents, or workflows orchestrating LLM calls and retrieval-augmented generation.
- Experience with marketing, analytics, customer data, data architecture, and integrating data models into software.
Culture & Benefits
- Trust-based, transparent, collaborative, and inclusive workplace recognized as a Top Workplace for ten consecutive years.
- Access to office spaces in Minneapolis, New York City, and Chicago.
- Paid travel to the Minneapolis headquarters for company, team, and in-person collaboration events.
- Generous paid vacation, 401(k) matching, health insurance, and family formation benefits.
- Mobile phone and data stipend, sabbatical program, charitable giving match, and additional company events.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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