Big Data Engineering Services
Build reliable data pipelines, lakehouse architectures, and real-time analytics with enterprise-grade Big Data Engineering Services. We design and operate cloud-native platforms that turn raw data into governed, query-ready assets for BI, AI/ML, and product analytics.
Our Big Data Engineering Services
Embed senior data/platform engineers and architects into your team to accelerate delivery without recruitment overhead.
We can assist with:
Filling skills gaps (Spark/Flink, Kafka, Databricks, dbt, Airflow, Snowflake/BigQuery)
Rapid onboarding, SLAs, and timezone alignment
Elastic capacity (full-time, part-time, hourly) with governance (code reviews, IaC standards)
Design scalable lakehouse foundations (Delta Lake/Iceberg/Hudi) with medallion layers, versioned data, and governed access.
We can assist with:
Storage tiering, schema design, partitioning, and Z-ordering
Cost models and performance budgets for TB→PB scale
Multi-cloud patterns and upgrade-safe architectures
Implement event-driven pipelines with exactly-once semantics for low-latency use cases.
We can assist with:
Kafka/Kinesis/Pub/Sub, Debezium CDC, schema registry
Stream-stream joins, state management, watermarking
Replay strategy, DLQs, and backpressure controls
Standardize transformations with Spark/Databricks and dbt for reliable, testable data products.
We can assist with:
Incremental models, SCDs, and data vault/star schema
Job orchestration, retries, and auto-healing
Unit/data tests, SLAs, and cost/perf tuning
Hardened, compliant platforms leveraging native services and open standards.
We can assist with:
Landing zone, IAM, KMS/Key Vault/Cloud KMS, networking
Terraform/IaC, GitOps, and environment parity
Cost governance, quotas, and autoscaling
Make trust measurable and auditable across pipelines and domains.
We can assist with:
Great Expectations/dbt tests, anomaly detection
Lineage (OpenLineage), catalogs (Collibra/Alation)
Policies (Ranger/Lake Formation/Purview), PII handling
Why Choose Us for Big Data Engineering Services
24-Hour Candidate Matching
Move from requirements to interviewing pre-vetted data engineers within a day. This reduces time-to-first-sprint for critical Big Data Engineering Services programs.
Top 3.5% of Data Talent
We staff elite engineers experienced with Spark/Flink, Kafka, Databricks, and modern lakehouse stacks—sustaining velocity and quality for your Big Data Engineering Services roadmap.
2-Week Risk-Free Trial
Validate fit, cadence, and deliverable quality. Replace or stop within 14 days – de-risking your investment in Big Data Engineering Services.
Flexible Engagement Models
Start lean, then scale to a cross-functional squad in days (Data Eng, Platform, DevOps, QA). We support augmentation, dedicated teams, and fixed-scope builds for complex Big Data Engineering Services.
Global Time Zone Alignment
Our team spans multiple regions, enabling us to work in full or partial overlap with U.S., UK, EU, and APAC time zones for seamless communication
98% Client Satisfaction Rate
Backed by hundreds of successfully delivered cloud projects, our track record speaks for itself. Clients consistently praise us for transparency, quality, and reliability.
Benefits of Our Big Data Engineering Services
Faster Time-to-Insight
A seasoned team, reusable components, and disciplined pipelines compress time from ingestion to analytics.
Scalable & Resilient Data Platforms
Architectures built for elasticity, fault tolerance, and predictable SLAs at TB→PB scale.
Lower Total Cost of Ownership
Automation, cost governance, and storage/query optimization reduce ongoing spend and regression risk.
Compliance by Design
Data minimization, policy enforcement, lineage, and auditability aligned to SOC 2, ISO 27001, HIPAA, and GDPR.
Cloud-Agnostic Patterns
Avoid lock-in with open table formats (Delta/Iceberg/Hudi) and portable IaC/CI/CD.
Measurable Reliability
Contracted SLAs on freshness, latency, and quality ensure dependable analytics and ML.
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.
Technologies We Use for Big Data Engineering Services
Big Data Technologies
Big Data Technologies
Our Big Data Engineering Services leverage a modern, cloud-native tech stack combining data ingestion, processing, analytics, and governance - delivering scalable, secure, and high-performance data ecosystems across industries.
Assist with:
- Designing real-time and batch ingestion pipelines with exactly-once semantics
- Developing efficient, testable ETL/ELT workflows with automated orchestration
- Building analytical warehouses and semantic layers for BI and self-service analytics
- Implementing end-to-end governance, lineage, and regulatory compliance (SOC 2, ISO 27001, HIPAA, GDPR)
- Optimizing cost, performance, and observability across multi-cloud data platforms
Apache Airflow
Apache Flink
Apache Spark
Kafka
Redshift
Snowflake
What to Expect When Working with Our Big Data Engineering Company
Step 1: Discovery Call
We capture goals, KPIs, constraints, and data sources; then outline options for your Big Data Engineering Services program.
Step 2: Solution & Team Proposal
You receive an architecture sketch, delivery approach, and right-sized team (Data Eng, Platform, DevOps, QA, PM/Tech Lead) with clear estimates/timelines.
Step 3: Onboarding & Environment Setup
Contracts/NDAs, repos, CI/CD, and IaC baselines are established; security and access are provisioned to start the first sprint in 2–5 business days.
Step 4: Agile Delivery
We run 1–2 week sprints with demos, DQ metrics, and acceptance criteria; artifacts include code, docs, runbooks, and dashboards.
Step 5: Handover & Support
Production cutover, observability, and runbooks; optional managed services or augmentation for continuous improvement.
Cases
Discover Our Successful Projects and Why You Should Choose Us for Your Big Data Development Needs
Industry Platform for Connectivity
Industry Platform for Connectivity
Connectbase is ranked 208th on the Forbes list of "America’s Best Startup Employers". Company that delivers trusted, fresh location-based insights that feed cutting-edge applications which are used by industry buyers and accelerate growth. Connectbase is a platform for serving buyers and sellers of network and deliver a level of precise decision-making and automation.
AI-Powered Market Research Platform
AI-Powered Market Research Platform
Using a combination of AI and hyper-personalized targeting, GrapeData obtains unique insight from knowledgeable respondents anywhere in the world.Digis is always very responsive, open, and willing to find alternatives when necessary.
End-to-End Email Marketing Platform
End-to-End Email Marketing Platform
Ongage is an email marketing platform for advanced email marketers who send high-end campaigns and want to understand their audience better. Ongage fuels the growth of large-volume email operations, allowing email marketers, CRM, loyalty, and automation managers to easily optimize sends, segments, reach, and engagement.Their team always suggested improvements and delivered on time.
Tax Credit Solution Platform
Tax Credit Solution Platform
Full-service administrator of federal and state tax credit and incentive programs for businesses. Retrotax knows the tax credit fulfillment process, and can help your business get the results and the financial benefit for which it qualifies. 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
We combine augmentation with architecture leadership, SLAs, IaC, and governed delivery—so you get execution plus platform stewardship.
Yes. We design with open formats (Delta/Iceberg/Hudi) and portable IaC/CI/CD, while still leveraging AWS/Azure/GCP primitives where they add value.
Automated tests (dbt/Great Expectations), anomaly detection, lineage, and DQ SLAs are embedded into pipelines with alerting and on-call procedures.
Yes. You own 100% of code, configs, runbooks, and artifacts. NDAs and IP clauses are standard.
Candidate matching within 24 hours; typical kickoff in 2–5 business days after contract and access provisioning.
We run discovery and parallel pipelines, validate parity, then plan a staged cutover with rollback. Decommissioning follows successful acceptance.
SOC 2, ISO 27001, HIPAA, and GDPR—implemented with policy enforcement, audit trails, masking, and data minimization.
We set budgets and alerts, optimize storage/compute, right-size clusters/warehouses, and instrument queries for continuous FinOps.
TELL US ABOUT YOUR NEEDS
Just fill out the form or contact us via email or phone:
The team has been innovative and reliable. Their experience and professionalism were admirable.