TechTammina LLC Logo

TechTammina LLC

Data Developer

Reposted One Month Ago
In-Office
New York, NY, USA
Mid level
In-Office
New York, NY, USA
Mid level
The Data Developer will focus on mid-tier and backend development, primarily using C# and PL/SQL in a financial context.
The summary above was generated by AI
Company Description

Tech Tammina LLC

Job Description

   Data Developer - Investment Company

                C#, mid-tier and backend development, financial, pl/sql

                Mid-tier and backend is programming on the server side rather than GUI (if the person is not doing primarily CSS/HTML/javascript, then he/she is most probably a backend developer)

Additional Information

Job Status: Full Time / Permanent
Eligibility: EAD GC/ GC/ US Citizen
Share the Profiles to mdanish(at)1stitsolution.com
Contact: 703 349 1004
Keep the subject line with Job Title and Location

Similar Jobs

4 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
220K-300K Annually
Senior level
220K-300K Annually
Senior level
Legal Tech • Software • Generative AI
Staff Data Engineer will set technical direction and build Eve’s scalable data platform. Responsibilities include Snowflake administration, role-based access, governance, ingestion, dbt modeling and orchestration, Terraform infrastructure, observability, schema change detection, reliability practices, and CI standards. The role also mentors engineers and analysts, supports AI-assisted development, and establishes secure, reliable workflows for product, case, customer, and go-to-market data.
Top Skills: AirflowClaude CodeDbtFivetranGithub ActionsMcp ServersPythonSnowflakeSnowflake CortexSQLTerraform
4 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
185K-245K Annually
Senior level
185K-245K Annually
Senior level
Legal Tech • Software • Generative AI
Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards.
Top Skills: AirflowClaude CodeDbtFivetranGithub ActionsIcebergMcp ServersParquetPythonSnowflakeSQLTerraform
5 Hours Ago
Remote or Hybrid
United States
165K-235K Annually
Senior level
165K-235K Annually
Senior level
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets.
Top Skills: Amazon AuroraAmazon RdsApache AirflowSparkBigQueryCdcClickhouseCloud Object StorageDatabricksDelta LakeIamOpenmetadataPostgresSnowflakeUnity Catalog

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