Data Engineer Jobs at Synechron with Visa Sponsorship
Data Engineer jobs at Synechron involve building and maintaining the data infrastructure that powers its financial services and technology clients. The company has an established sponsorship process for this function, supporting candidates across multiple visa categories from OPT through permanent residence pathways.
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Get Access To All JobsRole Overview: As a Senior Data Engineer specializing in Natural Gas and Power, you will support the design, development, and optimization of advanced data infrastructure and products that support critical trading, risk, and market analytics functions. You will collaborate closely with traders, quantitative analysts, risk managers, and IT stakeholders to ensure data systems are scalable, secure, and aligned with the strategic goals of the energy business. In addition to hands-on engineering, you will play a pivotal role supporting the data architecture roadmap, mentoring engineers, and driving innovation in data-driven decision-making across the Natural Gas and Power value chain.
Main Responsibilities
- Contribute to the definition of the target data architecture (lake/lakehouse, streaming, event-driven) and technology choices for high-volume time-series, market, and transactional data.
- Build and operate end-to-end pipelines (ingest → quality → transform → serve) with strong SLAs/SLOs, lineage, and observability.
- Establish coding, testing, CI/CD, and infrastructure-as-code standards; drive adoption of data governance, cataloging, and access controls.
- Own capacity, performance, reliability, and cost efficiency of data platforms across environments (dev/test/prod).
- Ensure data quality, lineage, and observability across all layers of the data stack.
Required Skill set:
- Master’s or Bachelor’s degree in Computer Science, Data Engineering, Applied Mathematics, or a related technical field.
- 7+ years of experience in data engineering, with at least 3 years in a senior development role.
- Strong and proven experience in Power (and ideally Natural Gas) trading commodities is mandatory, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR).
- Strong experience building and operating data platforms on AWS is required.
- Azure: ADLS Gen2, Event Hubs, Synapse Analytics, Azure Databricks (Spark), Azure Functions, Azure Data Factory/Databricks Workflows, Key Vault, Azure Monitoring/Log Analytics; IaC with Terraform/Bicep; CI/CD with Azure DevOps or GitHub Actions.
- Snowflake (on Azure or multi-cloud): Warehousing design, Streams & Tasks, Snowpipe/Snowpipe Streaming, Time Travel & Fail-safe, RBAC & row/column security, external tables over ADLS, performance tuning & cost governance.
- Programming & Engineering Practices: Strong OOP in Python and Java/Scala; SDLC leadership, DevOps mindset, TDD/BDD, code reviews, automated testing (unit/integration/contract), packaging and dependency management, API design (REST/gRPC).
- Web & Data Acquisition: Robust web scraping and ingestion with Scrapy, Requests, Playwright/Selenium; scheduling, retries/exponential backoff, change-data capture; ethical/legal collection practices (robots.txt, terms).
- Orchestration & Quality: Airflow/ADF/Databricks Jobs, data contracts, Great Expectations (or similar), lineage/catalog (e.g., Purview), metrics/observability (Prometheus/Grafana/Application Insights).
- Dataframe oriented programming: pandas, spark/snowpark dataframes, SQL data transformation.
Additional Skills
- Designing low-latency pipelines for sub-second to minute-level telemetry, weather and market data; tuning Spark Structured Streaming/Flink/Kafka Streams.
- Quality & Reconciliation for telemetry and market submissions (gap fill, resampling, deduplication, anomaly detection, schema evolution).
- Serving Patterns: time-series stores and query layers (e.g., Delta Lake over ADLS, Iceberg, materialized views in Snowflake), APIs and event streams for downstream consumption.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Role Overview: As a Senior Data Engineer specializing in Natural Gas and Power, you will support the design, development, and optimization of advanced data infrastructure and products that support critical trading, risk, and market analytics functions. You will collaborate closely with traders, quantitative analysts, risk managers, and IT stakeholders to ensure data systems are scalable, secure, and aligned with the strategic goals of the energy business. In addition to hands-on engineering, you will play a pivotal role supporting the data architecture roadmap, mentoring engineers, and driving innovation in data-driven decision-making across the Natural Gas and Power value chain.
Main Responsibilities
- Contribute to the definition of the target data architecture (lake/lakehouse, streaming, event-driven) and technology choices for high-volume time-series, market, and transactional data.
- Build and operate end-to-end pipelines (ingest → quality → transform → serve) with strong SLAs/SLOs, lineage, and observability.
- Establish coding, testing, CI/CD, and infrastructure-as-code standards; drive adoption of data governance, cataloging, and access controls.
- Own capacity, performance, reliability, and cost efficiency of data platforms across environments (dev/test/prod).
- Ensure data quality, lineage, and observability across all layers of the data stack.
Required Skill set:
- Master’s or Bachelor’s degree in Computer Science, Data Engineering, Applied Mathematics, or a related technical field.
- 7+ years of experience in data engineering, with at least 3 years in a senior development role.
- Strong and proven experience in Power (and ideally Natural Gas) trading commodities is mandatory, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR).
- Strong experience building and operating data platforms on AWS is required.
- Azure: ADLS Gen2, Event Hubs, Synapse Analytics, Azure Databricks (Spark), Azure Functions, Azure Data Factory/Databricks Workflows, Key Vault, Azure Monitoring/Log Analytics; IaC with Terraform/Bicep; CI/CD with Azure DevOps or GitHub Actions.
- Snowflake (on Azure or multi-cloud): Warehousing design, Streams & Tasks, Snowpipe/Snowpipe Streaming, Time Travel & Fail-safe, RBAC & row/column security, external tables over ADLS, performance tuning & cost governance.
- Programming & Engineering Practices: Strong OOP in Python and Java/Scala; SDLC leadership, DevOps mindset, TDD/BDD, code reviews, automated testing (unit/integration/contract), packaging and dependency management, API design (REST/gRPC).
- Web & Data Acquisition: Robust web scraping and ingestion with Scrapy, Requests, Playwright/Selenium; scheduling, retries/exponential backoff, change-data capture; ethical/legal collection practices (robots.txt, terms).
- Orchestration & Quality: Airflow/ADF/Databricks Jobs, data contracts, Great Expectations (or similar), lineage/catalog (e.g., Purview), metrics/observability (Prometheus/Grafana/Application Insights).
- Dataframe oriented programming: pandas, spark/snowpark dataframes, SQL data transformation.
Additional Skills
- Designing low-latency pipelines for sub-second to minute-level telemetry, weather and market data; tuning Spark Structured Streaming/Flink/Kafka Streams.
- Quality & Reconciliation for telemetry and market submissions (gap fill, resampling, deduplication, anomaly detection, schema evolution).
- Serving Patterns: time-series stores and query layers (e.g., Delta Lake over ADLS, Iceberg, materialized views in Snowflake), APIs and event streams for downstream consumption.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Synechron
Align your portfolio with Synechron's client stack
Synechron's Data Engineer roles support financial services and fintech clients, so hands-on experience with cloud data platforms like Azure, AWS, or Snowflake strengthens your application more than general engineering credentials.
Confirm your visa type before applying
Synechron sponsors multiple visa categories, but the filing process differs significantly between F-1 OPT, H-1B, and TN. Know which category applies to you before your first recruiter call so you can address sponsorship directly.
Time your OPT application around Synechron's hiring cycles
If you're on F-1 OPT, apply to Synechron's Data Engineer roles at least three months before your OPT end date. This gives both sides enough runway to complete onboarding and any H-1B cap-season filing without gaps in work authorization.
Browse open Data Engineer roles on Migrate Mate
Filter by Synechron on Migrate Mate to see current Data Engineer openings alongside confirmed sponsorship details, so you're applying to roles where visa support is already verified rather than guessing from a generic job board posting.
Prepare a degree equivalency assessment early
For H-1B or PERM-based Green Card filings, USCIS scrutinizes whether your degree field directly relates to a Data Engineer specialty occupation. If your degree is in a tangential field, a credential evaluation from a NACES-approved agency can resolve that before it becomes a problem.
Understand the PERM timeline before accepting an offer
If Synechron offers EB-2 or EB-3 sponsorship, DOL's PERM labor certification typically takes six to twelve months before the I-140 petition even begins. Factor this into your long-term authorization planning when evaluating the offer.
Frequently Asked Questions
Does Synechron sponsor H-1B visas for Data Engineers?
Yes, Synechron sponsors H-1B visas for Data Engineer roles. The company has a consistent track record of filing H-1B petitions for this function, covering both cap-subject registrations in the annual lottery and cap-exempt transfers for candidates already holding H-1B status with another employer. If you're in the H-1B cap season, confirm your registration timeline with your Synechron recruiter early.
How do I apply for Data Engineer jobs at Synechron?
You can apply through Synechron's careers page or through Migrate Mate, which lists open Data Engineer positions at Synechron alongside verified sponsorship details. When applying, tailor your resume to highlight data pipeline, cloud platform, and financial services experience, as Synechron's Data Engineer roles typically support banking and fintech clients. Be prepared to address your visa status clearly in the initial recruiter screen.
Which visa types does Synechron commonly use for Data Engineer roles?
Synechron sponsors H-1B, TN visa, F-1 OPT, and F-1 CPT for Data Engineer positions, along with EB-2 and EB-3 Green Card pathways for longer-term employees. TN visa is available to Canadian and Mexican nationals in qualifying technical roles. OPT and CPT are typically used for recent graduates, with H-1B sponsorship following once the candidate is established in the role.
What qualifications does Synechron expect for a sponsored Data Engineer?
Synechron's Data Engineer roles generally require a bachelor's degree in computer science, information systems, or a closely related field, combined with hands-on experience in SQL, Python, and at least one major cloud platform such as AWS, Azure, or GCP. For H-1B or PERM purposes, USCIS requires the role to qualify as a specialty occupation, meaning the degree must be directly relevant to the specific position, not just any technical field.
How long does the visa sponsorship process take if Synechron offers me a Data Engineer role?
Timeline depends heavily on your visa category. An H-1B transfer for someone already in status can take four to six weeks with premium processing through USCIS. A cap-subject H-1B requires waiting for the April lottery and an October 1 start date at the earliest. EB-2 or EB-3 Green Card sponsorship involves DOL's PERM process, which typically adds six to twelve months before the I-140 petition stage begins.