Design and implement data solutions as a Senior Data Engineer, focusing on cloud platforms and ensuring data integration performance, security, and scalability.
Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges.
phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
- 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
- Fivetran, dbt, Atlation, Matillion Partner of the Year
- #1 Partner in Snowflake Advanced Certifications
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
- Recognized as an award-winning workplace in US, India and LATAM
Required Experience:
- 4+ years as a hands-on Data Engineer and/or Software Engineer designing and implementing data solutions
- Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
- Ability to multitask, prioritize, and work across multiple projects at once.
- Programming expertise in Java, Python and/or Scala, including experience with software development life cycle, including unit and integration testing
- Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
- Experience using SQL and the ability to write, debug, and optimize SQL queries
- Client-facing written and verbal communication skills and experience
- Create and deliver detailed presentations
- Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
- 4-year Bachelor's degree in Computer Science or a related field
Prefer any of the following:
- Production experience in core data platforms: Snowflake (including Snowflake Native Apps), AWS, Azure, GCP, Hadoop, Databricks, IICS
- Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
- Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
- Multiple data sources (e.g. queues, relational databases, files, search, API)
- Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
- Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
- Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi
Why phData? We offer:
- Remote-First Work Environment
- Casual, award-winning small-business work environment
- Collaborative culture that prizes autonomy, creativity, and transparency
- Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
- Accelerated learning and professional development through advanced training and certifications
#LI-DNI
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Top Skills
Airflow
AWS
Azure
Databricks
GCP
Java
Kafka
Python
Scala
Snowflake
Spark
SQL
Similar Jobs
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
As a Data Engineer, you'll build and maintain data solutions for AI initiatives, optimize data infrastructure, and collaborate with cross-functional teams to ensure data integrity and support AI/ML workflows.
Top Skills:
AIBigQueryETLGCPLlmMlObject StoragePub/SubPythonScalaSparkSQL
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
As a Senior Data Engineer, you will design and build scalable data solutions for AI and analytics products, collaborating with engineers and product management. You will also lead project initiatives, engineer data pipelines, and ensure data quality and security.
Top Skills:
AirflowAWSCloudbeesDbtFeastJenkinsKafkaPythonQlikShell/BashSnowflakeSQLTableau
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
This role involves leading the evolution of a data lakehouse, developing data models, managing project life cycles, and mentoring team members.
Top Skills:
DatabricksMicrosoft Azure Data FactoryPythonT-Sql
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
