Quisitive Logo

Quisitive

Senior Data Engineer

Reposted Yesterday
Easy Apply
Remote
Hiring Remotely in USA
Senior level
Easy Apply
Remote
Hiring Remotely in USA
Senior level
The role involves building data ingestion pipelines, optimizing ETL processes, and developing AI-driven solutions using various frameworks and databases.
The summary above was generated by AI

Passionate team members, challenging projects and a great place to work! This is what you can expect if you join the Quisitive team. Founded in 2016, Quisitive is a global Microsoft services and solutions partner. We are a team of professionals with a strong reputation for successfully delivering award-winning Microsoft solutions, including being named Microsoft's 2024 Analytics Partner of the Year. Our culture of continual learning and innovation ensures that we remain committed to Microsoft’s long-term strategy.

What do we attribute our award-winning success to? The people we hire, of course! Our team members join Quisitive for more than just a job. They come to Quisitive to contribute to something bigger than themselves – to be part of a high-performing culture, continue their infinite quest to learn, and deliver innovative and exciting solutions that impact both Quisitive's and our customers’ future success. Our leaders continuously strive to provide the tools and resources that you need to do what you do best each and every day!

We are currently hiring a Sr. Data Engineer to join our team and help build the backbone of our data-driven solutions. This role is perfect for someone who loves working with large-scale data and optimizing pipelines. You’ll play a key role in designing and maintaining systems that power intelligent applications and knowledge management platforms.

What will this role entail?

  • Building and maintaining backend data ingestion and embedding pipelines
  • Setting up environments, clone repositories, and running pipelines in JupyterHub
  • Working on large-scale ETL processes, including converting Iceberg tables to Parquet and exporting data to S3 buckets
  • Troubleshooting data quality issues and optimizing Spark jobs for efficiency
  • Implementing retry mechanisms and debugging full-stack issues related to large file operations
  • Working with GitLab for source control and Jira for project tracking

What’s required to be successful in this role?

  • Strong proficiency in Python for data processing and pipeline development
  • Hands-on experience with Spark
  • Experience with Oracle DB, PostgreSQL, and PGVector for embedding strategies
  • Comfortable working with S3 buckets, Parquet, and CSV formats
  • Power BI for dashboard development and reporting

We are looking for curious initiative takers to join our team, so if you are passionate about working with smart people that are committed to accomplishing great things, then apply today!

Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

About Quisitive

With significant growth since 2016, Quisitive is rapidly achieving our vision of becoming the leading global Microsoft partner as we continue to expand across the United States, Canada and India. With a diversified delivery model that includes both nearshore and offshore capabilities, our team of Microsoft experts delivers cloud and artificial intelligence business solutions and services that ensure our customers achieve their digital transformation goals. In addition, Quisitive offers a portfolio of industry-focused solutions that address customer challenges in healthcare, manufacturing, state & local government and performance management.

Top Skills

Csv
Hashicorp Vault
Iceberg
Jupyterhub
Neo4J
Oracle Db
Parquet
Pgvector
Postgres
Power BI
Python
S3
Spark

Similar Jobs

7 Days Ago
Easy Apply
Remote
United States
Easy Apply
196K-247K Annually
Senior level
196K-247K Annually
Senior level
Artificial Intelligence • Fintech • Healthtech • Software
The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.
Top Skills: AirflowAWSDbtPythonSnowflakeSQL
13 Days Ago
Remote or Hybrid
United States
102K-169K Annually
Senior level
102K-169K Annually
Senior level
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
Seeking a Senior Data Engineer to design and optimize data pipelines, ensuring data quality and supporting advanced analytics. Responsibilities include building data architectures, developing automated testing, and collaborating with stakeholders.
Top Skills: Apache AirflowAWSAzureAzure SynapseDbtHadoopJavaKafkaKinesisPytestPythonPyTorchRedshiftScalaScikit-LearnSeleniumSnowflakeSparkSQLTensorFlow
13 Days Ago
Remote or Hybrid
United States
102K-169K Annually
Senior level
102K-169K Annually
Senior level
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
Seeking a Senior Data Engineer to design and optimize data architecture and pipelines, ensuring data quality and enabling advanced analytics through AI and machine learning techniques.
Top Skills: Apache AirflowAWSAws RedshiftAzureAzure SynapseDbtHadoopJavaKafkaKinesisPytestPythonPyTorchScalaScikit-LearnSeleniumSnowflakeSparkSQLTensorFlow

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account