Ciklum Logo

Ciklum

Senior Data Engineer

Posted 21 Days Ago
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
Design, build, and optimize enterprise ETL/ELT pipelines, cloud data lakes, lakehouse solutions, data models, and semantic layers across AWS and Azure. Ensure data quality, security, performance, reliability, and governance while supporting analytics, reporting, and AI initiatives. Collaborate with product, engineering, IT, and business stakeholders to translate requirements into scalable data solutions, monitor pipeline health, troubleshoot issues, and improve data architecture and practices.
The summary above was generated by AI

Ciklum is looking for a Senior Data Engineer to join our team full-time in the US .

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Design, build, and optimize enterprise data pipelines and lakehouse solutions aligned to Client's data architecture, governance standards, and cloud-first strategy. Partner with cross-functional teams to deliver secure, scalable, and high-quality data solutions that enable analytics, reporting, and AI-driven capabilities.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems including ERP, CRM, and operational platforms 
  • Build and support ICC’s cloud-based data lakehouse architecture (aligned to medallion layers and governance standards) 
  • Develop and maintain data models, semantic layers, and curated datasets for analytics and business intelligence 
  • Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders 
  • Ensure data quality, integrity, and security in alignment with ICC data governance and compliance standards 
  • Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms 
  • Support data integration initiatives including Data Lake, D365 ERP, and CRM/AMS platforms 
  • Monitor pipeline health, troubleshoot issues, and ensure high availability and reliability of data systems 
  • Contribute to continuous improvement of data architecture, standards, and best practices 
  • Support AI and analytics initiatives by enabling high-quality, accessible data for downstream consumption 
  • Ability to establish positive working relationships with multiple disciplines of Information technology department & staff levels
  • Demonstrated ability to collaborate and receive feedback regarding ongoing projects
  • Demonstrated ability to respond to business issues with the appropriate sense of urgency
  • Sense of when to escalate a problem or ask for assistance

Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, or related field 
  • 4+ years of experience in data engineering or data platform development 
  • Strong experience designing and building ETL/ELT pipelines in cloud environments 
  • Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS) 
  • Strong proficiency in SQL and relational database design 
  • Solid understanding of data warehousing, data lakes, and lakehouse architecture 
  • Experience with structured, semi-structured, and unstructured data processing 
  • Experience with data modeling, data quality, and performance optimization 
  • Strong analytical, problem-solving, and communication skills

Desirable:

  • Experience with medallion/lakehouse architecture patterns
  • Experience working in multi-cloud environments (AWS and Azure)
  • Experience with Databricks, Spark, or Azure Fabric 
  • Experience with Power BI or enterprise reporting platforms 
  • Familiarity with AI/ML data enablement and tools (e.g., AWS Bedrock, RAG concepts) 
  • Experience with Git, Azure DevOps, and CI/CD practices 
  • Understanding of Agile methodologies and SDLC

What’s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

#LI-HD1

Similar Jobs

Yesterday
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
Yesterday
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
5 Days Ago
Remote or Hybrid
United States
Senior level
Senior level
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech • SEO
Build and support scalable data platforms and pipelines, leading migrations such as Snowflake to BigQuery and transitioning reporting to Looker. Responsibilities include data architecture, ETL/ELT, API and marketing integrations, data quality, production troubleshooting, warehousing, performance optimization, and platform modernization. The role partners with analytics and business teams, owns projects through production, documents solutions, and provides technical guidance.
Top Skills: AWSAzureBigQueryConfluenceDraw.IoGCPGitJIRAKafkaLookerLucidchartMiroModeNotionPower BIPythonSnowflakeSparkSQLTableauTalend

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account