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
Fintech • News + Entertainment • Software • Database • Financial Services
Lead the architecture and development of scalable AWS-based data ingestion, transformation, and orchestration pipelines. Build reliable data infrastructure using Python, SQL, Airflow, Lambda, ECS, SQS, and Terraform. Establish data modeling, quality, lineage, monitoring, testing, and observability practices while partnering with analysts, scientists, and backend engineers. Mentor senior engineers, guide technical decisions, and provide hands-on leadership for complex data platform initiatives.
Top Skills:
Amazon EcsAmazon KinesisAmazon RedshiftAmazon S3Amazon SqsApache AirflowApache FlinkAWSAws GlueAws LambdaBeautifulsoupCi/CdDatabricksDockerGreat ExpectationsKafkaMonte CarloMwaaPythonScrapySnowflakeSQLTerraform
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate scalable batch and streaming data platforms supporting machine learning and generative AI. Build pipelines for structured, unstructured, OCR, document, and image data; develop RAG, semantic search, and LLM-powered solutions; and establish data quality, observability, governance, orchestration, and deployment practices. Partner with stakeholders, lead platform scalability and cost optimization, mentor engineers, and translate ambiguous needs into production-ready technical roadmaps while securely handling sensitive data.
Top Skills:
AirflowAmazon KinesisSparkAWSAzureAzure Event HubsChart.JsDatabricksDeequDelta LakeDockerGithub ActionsGCPGreat ExpectationsJavaKafkaKubernetesLlmsMlopsPlotlyPysparkPythonRagScalaSeabornSnowflakeSQLTerraform
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness.
Top Skills:
Adobe AnalyticsAdobe Experience PlatformAdobe I/O RuntimeAdobe Journey OptimizerAdobe Real-Time CdpAdobe Source ConnectorsAdobe TargetAPIsAWSAzureBatch IngestionBigQueryCcpaData PrepEltETLGCPGdprJavaScriptPythonQuery ServiceRedshiftSalesforce CdpSegmentSnowflakeSQLStreaming IngestionWeb SdkXdm
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
