Snowflake Data Engineer

NTT DATA North America
Denver, US
On-site

Job Description

Company Overview:

Req ID: 365748

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Snowflake Data Engineer to join our team in Plano, Texas (US-TX), United States (US).

Job Description:

Job Duties:

  • Configure Snowflake objects for CHATS / DECL virtualization and test them.
  • Design / modify MuleSoft ETL jobs and Snowflake tables to ingest new attributes.
  • Refine / implement ETL pipelines to fix data quality issues• Build and unit test components of the consolidated data platform Inventory PII locations and implement column, row and tag based security in Snowflake.• MDM focused engineers (IDXR) analyze mismatches, pass critical data elements, and validate matching results
  • Deep dive profiling to quantify match failures and data anomalies
  • Support testing and certification of improved match logic.

Basic Qualifications:

8+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.

2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.

Ability to travel at least 25%.

Preferred Skills:

Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more.

Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.

Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc.

Showcase professional written and verbal communication skills to effectively convey complex technical concepts.

Undergraduate or Graduate degree preferred

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Skills & Requirements

Technical Skills

SnowflakeMulesoft etl jobsSnowflake tablesEtl pipelinesData quality issuesPii locationsColumn, row and tag based securityMdm focused engineers (idxr)MismatchesCritical data elementsMatching resultsDeep dive profilingMatch failuresData anomaliesTesting and certificationImproved match logicCore data platforms (snowflake, databricks, aws, azure, gcp, hadoop)Cloud and distributed data storage (hdfs, s3, adls, gcs, kudu, elasticsearch/solr, cassandra, nosql storage systems)Data integration technologies (spark, kafka, eventing/streaming, streamsets, nifi, aws data migration services, azure datafactory, google dataproc)Professional written and verbal communicationData engineeringData analytics

Level

mid

Posted

4/14/2026

Continue to LinkedIn

You will be redirected to the job posting on LinkedIn.