Opus Technologies Logo

Opus Technologies

Data Engineer

Posted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.
The summary above was generated by AI
Design, develop, and maintain scalable, secure, and highly available data architectures on cloud platforms such as AWS, Azure, or Google Cloud. Build and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data warehouses to ensure smooth data flows and availability. Ensure data quality, accuracy, and consistency across multiple data sources. Utilize programming languages like Python, Java, Scala, and RDBMS, NoSQL databases, and Cloud-based data warehousing services such as Snowflake. Create and maintain documentation for data pipelines, data models, database schema, and data architecture. Write SQL queries to extract data for analytics and reporting purposes. Bachelor’s degree in Science, Technology, or Engineering (any) along with five (05) years of experience in the job offered or related occupation is required. Work location: Alpharetta, GA and various unanticipated locations throughout the U.S.

Email Resume to HR Dept., Opus Technologies, Inc., at [email protected]

Similar Jobs

4 Days Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills: Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
5 Days Ago
In-Office or Remote
120K-215K Annually
Senior level
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and lead production AI/ML, Generative AI, and data engineering solutions for healthcare analytics and patient safety platforms. Develop full-stack applications, microservices, APIs, data pipelines, dashboards, self-service analytics, RAG systems, and event-driven architectures using cloud-native technologies. Apply engineering best practices including testing, CI/CD, observability, security, and performance optimization. Mentor engineers, lead technical initiatives, and collaborate with product, analytics, business, and platform teams.
Top Skills: Amazon KinesisAWSAzureAzure Event HubsCi/CdDatabricksDelta LakeGCPGenerative AiJavaJavaScriptKafkaLarge Language Models (Llms)Microsoft FabricMlopsPysparkPythonReactRest ApisRetrieval-Augmented Generation (Rag)SnowflakeSparkSpring BootSQLTypescriptVector Search
7 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.
Top Skills: Apache AirflowCi/CdCypressDatabricksDbtDelta LakeGitPlaywrightPythonSodaSpark SqlSQL

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