The Principal Data Engineer will design and maintain ETL pipelines, implement data transformation, ensure data quality, and collaborate with teams on data strategies.
The Opportunity:
At Seamless.AI, we’re seeking a highly skilled and experienced Principal Data Engineer with expertise in Python, Spark, AWS Glue, and other ETL (Extract, Transform, Load) technologies. The ideal candidate will have a proven track record in data acquisition and transformation, as well as experience working with large data sets and applying methodologies for data matching and aggregation. Strong organizational skills and the ability to work independently as a self-starter are essential for this role.
Responsibilities:
- Design, develop, and maintain robust and scalable ETL pipelines to acquire, transform, and load data from various sources into our data ecosystem.
- Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.
- Implement data transformation logic using Python and other relevant programming languages and frameworks.
- Utilize AWS Glue or similar tools to create and manage ETL jobs, workflows, and data catalogs.
- Optimize and tune ETL processes for improved performance and scalability, particularly with large data sets.
- Apply methodologies and techniques for data matching, deduplication, and aggregation to ensure data accuracy and quality.
- Implement and maintain data governance practices to ensure compliance, data security, and privacy.
- Collaborate with the data engineering team to explore and adopt new technologies and tools that enhance the efficiency and effectiveness of data processing.
Skillset:
- Strong proficiency in Python and experience with related libraries and frameworks (e.g., pandas, NumPy, PySpark).
- Hands-on experience with AWS Glue or similar ETL tools and technologies.
- Solid understanding of data modeling, data warehousing, and data architecture principles.
- Expertise in working with large data sets, data lakes, and distributed computing frameworks.
- Experience developing and training machine learning models.
- Strong proficiency in SQL.
- Familiarity with data matching, deduplication, and aggregation methodologies.
- Experience with data governance, data security, and privacy practices.
- Strong problem-solving and analytical skills, with the ability to identify and resolve data-related issues.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Highly organized and self-motivated, with the ability to manage multiple projects and priorities simultaneously.
Education and Requirements:
- Bachelor's degree in Computer Science, Information Systems, related fields or equivalent years of work experience.
- 7+ years of experience as a Data Engineer, with a focus on ETL processes and data integration.
- Professional experience with Spark and AWS pipeline development required.
Since 2015, Seamless.AI has helped sales teams maximize revenue with the world’s first real-time B2B search engine. As one of Ohio’s fastest-growing companies, we’ve earned top industry accolades, including G2’s 2025 Best Software Products (#1 Highest Satisfaction Product), Purpose Jobs’ 2024 Best Places to Work, and LinkedIn’s Top 50 Tech Startups (2020, 2022, 2023). We are committed to a diverse, inclusive workplace and do not discriminate based on race, religion, gender, sexual orientation, age, or other protected statuses. Visa sponsorship is not available; applicants must be authorized to work in the U.S.
Top Skills
Aws Glue
ETL
Numpy
Pandas
Pyspark
Python
Spark
SQL
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead AI-driven insights and predictive analytics for business applications, optimizing processes like Quote-to-Cash and enhancing revenue forecasting.
Top Skills:
AWSAzureGCPPythonRSnowflakeSQLTableau
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Oracle Techno Functional Analyst will design and implement Oracle Fusion applications for finance functions, ensure data migration integrity, optimize application performance, and manage vendor relationships. The role includes overseeing integrations with other enterprise systems and ensuring compliance with security standards.
Top Skills:
Ai/Ml TechnologiesAPIsEtl ToolsOracle Fusion ApplicationsOracle Fusion FinancialsOracle Fusion HcmOracle Fusion MiddlewareOracle Fusion ProcurementWeb Services
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Principal UX Researcher will lead strategic research initiatives, collaborate across teams, and develop data-driven insights to enhance product development and user experiences.
Top Skills:
Qualitative ResearchQuantitative ResearchUx Research Methodologies
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
