The Data Engineer will design and develop data solutions utilizing big data frameworks and tools, while ensuring effective data management and BI dashboard creation in a remote environment.
Teravision Technologies is a Nearshore Software outsourcing company with offices in Colombia and USA and over 170 professionals working remotely worldwide. With over 20 years of experience in design, development, and quality assurance, Teravision Technologies offers custom solutions for a wide range of industries in the USA, Europe, and Latin America.
Why Teravision Technologies?
Here at Teravision Technologies we are problem solvers, with detail and objective-oriented mindset and are first and foremost team players. We want to be the next big step in your career. We look for innovators, people hungry for challenges, and go getters to join our team.
This is a remote position; candidates from all over Latin America are welcome to apply.
General Details:
- Fully remote position.
- Working hours (40 hours/week any timezone)
- Employment type: Contractor.
- Compensation in USD.
Qualifications:
- 4+ years of experience as a data engineer, software developer, or similar role.
- Deep expertise in big data frameworks like Spark, Flink, Kafka, or Janusgraph.
- Experience working with Python programming language is a must.
- Must have experience with Google Cloud Platform.
- Hands-on experience with SQL database design.
- Zest for setting up intuitive BI dashboards using Tableau, PowerBI, Superset, or Metabase.
- Excellent English communication skills are a must.
- Bachelor’s Degree in Computer Science or equivalent work experience.
What's in it for you?
- Paid time off.
- Paid National Holidays of your country of residence.
- Unlimited access to professional educational resources, through our growth partner Pluralsight and English Learning.
- Enjoy benefits related to our AWS partnership.
- Remote work laptop.
- Career path development.
- Challenging projects with international clients.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead the architecture, design, and implementation of scalable data pipelines and enterprise data assets supporting healthcare rebate and Medicaid systems. Ensure data quality, governance, security, and CMS compliance while troubleshooting complex integration and performance issues. Collaborate with engineering, analytics, business, and leadership teams to translate requirements into technical solutions. Use cloud, big data, and approved AI technologies to improve productivity, mentor teams, and support evolving healthcare and financial applications.
Top Skills:
Apache KafkaSparkAWSAzureDatabricksDelta LakeFhirHl7Ibm I Db2JavaPythonScalaSnowflakeSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, and operate scalable cloud data pipelines, platforms, and applications using distributed data technologies. Lead architectural decisions, evaluate platforms such as Snowflake and Databricks, establish engineering patterns, and deliver resilient data solutions. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical outcomes to stakeholders. Drive large-scale data initiatives independently in an Agile environment.
Top Skills:
AgileAirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaAzureMongoDBMonte CarloNoSQLPythonRedshiftScalaSnowflakeSparkSplunkSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Data Engineering Interns will define metrics, instrument logging, ingest and model data, transform datasets, ensure data quality and governance, and support visualization, reporting, alerting, and scalable systems. They will partner with product, analytics, and data consumers to improve product engagement, efficiency, costs, and strategic decision-making. The 12-week, full-time internship includes technical training, mentorship, and hands-on project experience.
Top Skills:
PythonRelational DatabasesSQL
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
