Hire Big Data Developers
Build high-performance data platforms with pre-vetted experts. Hire big data developers to design real-time pipelines, lakehouses, and BI at scale. Need flexibility? You can also hire remote big data developers for timezone-aligned delivery and rapid ramp-up.
Our Big Data Development Services
Extend your team with specialists who integrate into your tools, ceremonies, and roadmap. Use this to hire big data developers for urgent milestones or sustained delivery.
We can assist with:
Capability gaps in Kafka, Spark/Flink, dbt, Airflow, and cloud data warehouses
Elastic coverage for peak workloads and migrations
Senior review for architecture, performance, and cost control
On-call support for production pipelines and SLAs
Design and implement modern lakehouse or warehouse architectures that scale analytics and ML.
We can assist with:
Delta/Apache Iceberg design, medallion architecture, security zones
Batch/stream unification, late-arriving data handling
Semantic layers for BI self-service
Cost/performance optimization on cloud warehouses
Deliver sub-second insights with resilient streaming pipelines.
We can assist with:
Kafka topics, schemas, DLQ patterns, exactly-once semantics
Flink/Spark Structured Streaming jobs with stateful processing
CDC with Debezium, outbox/inbox patterns
Real-time observability and alerting
Consolidate trusted data for decision-makers.
We can assist with:
Snowflake/BigQuery/Redshift modeling and partitioning
dbt transformations, tests, and lineage
Metric standards and semantic modeling for BI tools
Performance tuning for complex analytic workloads
Operationalize control and trust across your data estate.
We can assist with:
Role-based access, fine-grained policies, PII masking
SOC 2, ISO 27001, HIPAA, GDPR alignment
Catalog/lineage with Collibra/Alation; policy enforcement with Ranger
Audit logging and retention strategies
Ship changes confidently with automation and guardrails.
We can assist with:
Airflow orchestration, parametrized DAGs, retries & SLAs
CI/CD for data code (tests, data quality gates, promotion)
Backfills, reprocessing, and blue/green data releases
Incident runbooks and SLOs for data products
Why Choose Us to Hire Big Data Developers
24-Hour Candidate Matching
You receive the first CVs within 24 hours, so you can hire big data developers and begin interviews immediately. This compresses lead times without sacrificing quality.
Top 3.5% of Big Data Engineers
We admit only elite, hands-on professionals with proven delivery in streaming, lakehouse, and BI ecosystems. You access a bench that consistently ships production systems.
2 Week Risk-Free Trial
Evaluate fit in a live sprint. If a change is needed during the trial, we replace the engineer or you can stop—no long-term commitment.
Flexible Engagement Models
Scale from one specialist to a cross-functional data squad. Choose full-time, part-time, or hourly—with the option to expand as scope grows.
Global Time Zone Alignment
When you hire remote big data developers, we provide overlap with U.S., UK/EU, or APAC hours and establish clear SLAs for collaboration and incident response.
98% Client Satisfaction Rate
Structured onboarding, measurable sprint outcomes, and transparent reporting keep delivery predictable from discovery to go-live.
Benefits of Hiring Big Data Developers
Faster Time-to-Insight
When you hire big data developers, you accelerate data-driven decision-making with real-time and batch pipelines that transform raw data into actionable insights.
Scalable, Cloud-Native Architecture
By choosing to hire big data developers, you get infrastructure optimized for AWS, GCP, or Azure, enabling horizontal scalability and cost predictability.
Production-Grade Reliability
Our clients who hire remote big data developers benefit from automated testing, CI/CD, and monitoring pipelines that ensure uptime and consistent data delivery.
Compliance by Design
Teams that hire big data developers receive end-to-end governance aligned with SOC 2, ISO 27001, HIPAA, and GDPR standards.
Lower Total Cost of Ownership
When you hire remote big data developers, performance tuning and architecture optimization reduce licensing overhead and maintenance costs.
Future-Ready Foundation
Companies that hire big data developers future-proof their analytics and AI capabilities through modular lakehouse and ML-ready solutions.
We have a dedicated project manager from Digis who takes our relationship very seriously.
Within a couple of months we could see that our backlog was reduced, and our time to deliver projects was reduced.
They’re committed and have the ability to scale up in order to deliver fast.
The team has been innovative and reliable. Their experience and professionalism were admirable.
They have skilled and committed development staff.
I desperately needed quality developers that would stick with me, and I’m certain Digis will do just that.
Digis’ work and infrastructure are fantastic.
Priorities of each task were delivered with a strong balance between business and development goals.
Their team always suggested improvements and delivered on time.
It is clear that they very carefully vet the people they hire.
The overall quality of the candidates they provide has been very good.
They are well experienced knowledgeable professionals
Digis has been a reliable and high-quality partner for many years for our company.
Digis has been reliable throughout the development process.
Big Data Development Tech Stack
Core Big Data Processing Frameworks
Cloud-Based Big Data Solutions
Data Storage & Warehousing
Data Pipeline & Orchestration
Security & Data Governance
Core Big Data Processing Frameworks
Scalable frameworks for processing large volumes of structured and unstructured data.
Usage of Technologies:
- Distributed data processing and real-time analytics.
- Batch processing for large-scale data sets.
- Real-time event streaming and message queuing.
Apache Flink
Apache Spark
Hadoop
Kafka
RabbitMQ
Cloud-Based Big Data Solutions
Cloud-native platforms for scalable data processing and storage.
Usage of Technologies:
- Cloud-based data lakes and processing services.
- Serverless analytics and SQL-based data exploration.
Data Storage & Warehousing
High-performance databases and data warehouses for large-scale storage.
Usage of Technologies:
- Relational databases for transactional data.
- NoSQL databases for high-speed data retrieval.
Data Pipeline & Orchestration
Tools to automate data movement, transformation, and orchestration.
Usage of Technologies:
- Workflow automation for ETL processes.
- Real-time data processing frameworks.
Apache Airflow
Beam
Dagster
Prefect
Security & Data Governance
Enterprise-grade security and compliance tools for data protection.
Usage of Technologies:
- Role-based access control for big data systems.
- Security policies and data encryption management.
What to Expect When Working With Our Big Data Team
Step 1: Discovery Call
We begin by understanding your project scope, data maturity, and business objectives to match you with the right experts when you hire big data developers.
Step 2: Team Composition & Estimate
Within 24 hours, you receive vetted profiles and transparent estimates to hire big data developers or hire remote big data developers that align with your time zone and goals.
Step 3: Onboarding & Kickoff
Once you hire remote big data developers, we integrate with your tools (Git, Airflow, Jira, Slack) and establish SLAs for communication and delivery.
Step 4: Agile Development
Your dedicated team of big data developers delivers measurable progress every sprint, maintaining full transparency through demos and reports.
Step 5: Go-Live & Transition
After go-live, you can scale your engagement or hire remote big data developers for ongoing optimization, maintenance, and new data initiatives.
Cases
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Testimonials
Within a couple of months we could see that our backlog was reduced, and our time to deliver projects was reduced.
We have a dedicated project manager from Digis who takes our relationship very seriously.
Digis has been a reliable and high-quality partner for many years for our company.
They have skilled and committed development staff.
They’re committed and have the ability to scale up in order to deliver fast.
Their team always suggested improvements and delivered on time.
I desperately needed quality developers that would stick with me, and I’m certain Digis will do just that.
The team has been innovative and reliable. Their experience and professionalism were admirable.
Frequently Asked Questions
You can hire big data developers within 24 hours. After interviews, onboarding typically takes 2 – 5 business days.
Yes. We make it easy to hire remote big data developers with overlapping hours across the U.S., EU, and APAC regions.
You can hire big data developers full-time, part-time, or on an hourly basis—scaling your team up or down as your roadmap evolves.
All professionals you hire as big data developers follow strict CI/CD, code-review, and data-testing procedures for stable, maintainable pipelines.
Organizations in fintech, healthcare, logistics, and e-commerce commonly hire big data developers for analytics, AI, and compliance-driven systems.
Absolutely. Many clients hire remote big data developers for continuous monitoring, scaling, and data platform evolution.
Yes. When you hire big data developers from Digis, all code, architecture, and documentation remain your intellectual property.
TELL US ABOUT YOUR NEEDS
Just fill out the form or contact us via email or phone:
Digis is always very responsive, open, and willing to find alternatives when necessary.