SunnyData Logo

SunnyData

Data Engineer

Sorry, this job was removed at 11:10 a.m. (CST) on Wednesday, Mar 25, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

Similar Jobs

4 Days Ago
Remote or Hybrid
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate scalable data pipelines and AI-ready data products from large structured and unstructured sources (OCR/images/documents). Enable production Generative AI (RAG, semantic search), ensure data quality/observability, orchestrate CI/CD and infra-as-code, and mentor engineers while collaborating with product, analytics, and compliance teams.
Top Skills: AirflowAWSAzureChartjsDatabricksDatabricksDeequDelta LakeDockerEvent HubsGCPGithub ActionsGreat ExpectationsJavaKafkaKinesisKubernetesLlmOcrPlotlyPysparkPythonRagScalaSeabornSemantic SearchSnowflakeSparkSQLTerraform
12 Days Ago
Remote or Hybrid
Austin, TX, USA
215K-250K Annually
Senior level
215K-250K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own and modernize Upsides analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.
Top Skills: AWSCi/CdDagsterDatabricksDbtSnowflakeTerraform
18 Days Ago
In-Office or Remote
165K-350K Annually
Senior level
165K-350K Annually
Senior level
Artificial Intelligence • Legal Tech
Founding data engineer responsible for consolidating multiple data sources into a BigQuery warehouse, building ETL/ELT pipelines, creating self-serve data tools (including natural-language/LLM agents), enabling analytics and personalization, and defining data engineering standards and infrastructure for a growing AI product.
Top Skills: BigQueryData LakeEtl/EltGoogle Cloud PlatformLlmsPythonSQLTerraformText-To-Sql

The Impact You Will Have

  • You will be part of a team responsible for supporting new and existing customers in their data engineering needs.

  • You will guide customers to make the best technical decisions to achieve their goals

  • You will actively work across multiple customer accounts, which you will need to track and report on their progress.

  • You will build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.

  • You will design data solutions.

  • You will analyze sources to determine value and recommend data to include in analytical processes.

  • You will incorporate core data management competencies, including data governance, data security, and data quality.

  • You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments.

  • You will perform data and system analysis, assessment, and resolution of defects and incidents of moderate complexity, correcting as appropriate.

  • You will test data movement, transformation code, and data components.

What We Look For

  • 3+ years of related experience in data engineering and data product development.

  • Experience in one or more of the following:

    • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)

    • Databricks platform - data engineering and/or ML ops experience would be a huge bonus

    • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)

    • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)

  • Solid understanding of the end to end data analytics workflow

  • Demonstrated track record of domain expertise, including the ability to understand technical concepts and possess in-depth knowledge of the immediate systems worked on

  • Proven problem-solving skills, including debugging skills

  • Strong verbal and written communication skills

  • Ability to work autonomously and self-motivation in identifying personal growth opportunities

  • Excellent time management and prioritization skills.

  • Knowledge of public cloud platforms AWS, Azure, or GCP would be a plus

  • Nice to have: Databricks Certification

Education

  • Bachelor’s Degree in STEM related field or equivalent

Benefits

  • Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.

  • Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.

  • An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Our Commitment to Diversity and Inclusion

At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Why Join SunnyData?

  • Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.

  • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.

  • Career Growth: Opportunities for professional development and career advancement.

  • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account