Data engineers for hire
A dedicated agile team or individual professional data engineers and solution architects who never compromise the quality
Explore Our Offer
Data engineering is one of the fastest-growing fields in technology. High demand for Cloud Data Engineers and Big Data Engineers is determined by the move of enterprises from on-prem to the cloud and to building a scalable Data infrastructure. The high demand means it can be tough to find qualified data engineers, not to mention those who meet your unique requirements for skills and experience. It may leave you wondering, how to hire a data engineer.
At HMD LLC, we have helped fill data engineering, science, and analytics positions for data-driven companies in a variety of industries.
At HMD LLC, we have helped fill data engineering, science, and analytics positions for data-driven companies in a variety of industries.
Data Engineers We Offer
We offer outsourced data engineers in our offshore development centres
Find temporary or full-time data analysts and BI experts experienced in making sense of data specific to your industry.
Source data engineers who are proficient in the latest cloud-based and on-prem tools and technologies.
Hire highly-qualified data scientists experienced in predictive modeling and analysis in your field of business.
DevOps can help ensure that data pipelines are developed and deployed in a way that meets the needs of the project.
You do need to spend months on hiring a professional Big Data Architect. HMD LLC remote team will design your software architecture.
Our ETL engineers will help to transform siloed data into digestible well-structured data clusters or warehouse.
Get in touch!
Send your request and get an offer to hire a data engineer
Benefits of hiring our developers
You can avoid these extra costs
- No recruiting feesYou do not pay commissions for the recruitment and management
- No salary taxesYou do not pay social security tax and other taxes for our remote developers
- No operational costsYou do not pay for extra facilities and utilities when you hire our remote developers
Data Engineering Process
We offer a wide range of data engineering services. Take a look at what we can offer to your company.
Data ingestion
We use Kafka, Kinesis, Pub/Sub, or similar for data ingestion and initial processing.
For simpler workflows like batch processing, we use data pipelining tools such as Apache Airflow and different data source connectors or cloud platform tools such as AWS Glue, Lambda, and Data Pipeline.
For simpler workflows like batch processing, we use data pipelining tools such as Apache Airflow and different data source connectors or cloud platform tools such as AWS Glue, Lambda, and Data Pipeline.
Data storage
For data lakes and unstructured data, we use Object Storage solutions when possible and HDFS when required by downstream processing.
For relational data columnar data formats like ORC or parquet with a query engine like Presto or a managed solution like BigQuery work wonders, or PostgreSQL with columnar data storage.
Data processing
For orchestration Apache Airflow on-premise and AWS lambda with event triggers or GCP Dataflow are our tools of choice.
The processing itself is handled by various tools from Spark for big data to Tensorflow for deep neural networks.
We work mainly in the Python and Linux ecosystems and have extensive experience with relevant tools.
Data visualization
We use a variety of tools available for business intelligence (BI) and data visualization, and the specific tools that are needed will depend on the characteristics of the data being analyzed and the specific goals of the BI project.
Data visualization software we used to create graphical representations of data in order to better understand and communicate insights including Tableau, Qlik, and Power BI.
Clients' reviews
Frequently asked questions
Please reach to us on the Contact page if you cannot find an answer to your question.
A data engineer is an IT worker whose primary job is to prepare data for analytical or operational use. These software engineers are responsible for building data pipelines to bring together information from different sources.
For decades we have been delivering Big Data and Data Science projects to our customers. We have our own laboratory for newcomers and mature engineers. This allows us to attract and test the best talents. After years of staffing our own projects with highly-qualified data engineers, analysts, and scientists, we started to offer outstaffing services to our clients. Compared to general-purpose recruiters, we bring a hard-to-match level of industry experience to the screening and hiring process.
Data engineering is the process of designing, building, maintaining, and troubleshooting data systems. Our Data engineers work to ensure that your data is properly collected, stored, and structured in a way that allows it to be analyzed and used effectively. Data engineering involves a range of activities, including:
- Designing and building data pipelines: Data engineers design and build systems that collect, store, and process data from various sources, such as databases, sensors, and applications.
- Maintaining and optimizing data systems: Data engineers ensure that data systems are reliable, efficient, and scalable, and they work to optimize these systems for performance.
- Data modeling: Data engineers create models of data structures to help ensure that data is properly organized and structured for use.
- Data integration: Data engineers work to integrate data from various sources, such as databases, applications, and sensors, in order to create a cohesive and consistent data environment.
The main difference between these two data professionals is that data engineers build and maintain the systems and structures that store, extract, and organize data, while data scientists analyze that data to predict trends, glean business insights, and answer questions that are relevant to the organization.
In each particular case, we advise our clients on a different type of engagement. At Offshore Development Centre, we assess your particular needs according to your requirements and deadlines. We provide you with a balanced dedicated team of Data engineers and developers enough to be on track with your milestones.
A data engineer delivers the tasks set by more senior members of the data engineering team.
Usually, data engineers will:
Usually, data engineers will:
- implement data flow to connect operational systems, data for analytics, and business intelligence (BI) systems
- document source-to-target mappings
- re-engineer manual data flows to enable scaling and repeatable use
- support the building of data streaming systems
- write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally
- develop business intelligence reports that can be reused
- build accessible data for analysis
We pride ourselves on our ability to quickly locate data engineers with hard-to-find skills. You will be reviewing thoroughly vetted data engineers. Our database of 40+ data engineers allows us to provide you with relevant candidates as fast as one week.
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